Abstract
People tend to associate abstract visual features with basic taste qualities. This narrative historical review critically evaluates the literature on these associations, often referred to as crossmodal correspondences, between basic tastes and visual design features such as color hue and shape curvilinearity. The patterns, discrepancies, and evolution in the development of the research are highlighted while the mappings that have been reported to date are summarized. The review also reflects on issues of cross-cultural validity and deviations in the matching patterns that are observed when correspondences are assessed with actual tastants versus with verbal stimuli. The various theories that have been proposed to account for different classes of crossmodal correspondence are discussed, among which the statistical and affective (or emotional-mediation) accounts currently appear most promising. Several critical research questions for the future are presented to address the gaps that have been identified in the literature and help validate the popular theories on the origin and operations of visual-taste correspondences.
People display a sometimes-surprising tendency to connect various features, attributes, or dimensions of experience across the senses (Spence, 2011). While the terminology has varied over the years, the term crossmodal correspondence is now commonly used in the literature to identify this specific type of systematic crossmodal association (see Spence, 2011, for a review). Basic tastes, in the form of gustatory qualities (such as bitter, sour, salty, and sweet), constitute one of the often-studied attributes in the literature on crossmodal correspondences. In recent years, the associations between basic tastes and various visual features have received considerable research interest among the wide range of crossmodal correspondences that have been documented to date (Spence & Levitan, 2022; Spence & Ngo, 2012). One notable example is the consistent matching of the color green and sour taste when people are instructed to associate taste qualities with colors (Spence et al., 2015). Such correspondences also appear to be bi-directional, with the same pattern of crossmodal associations typically being reported when matching to either gustatory or visual stimuli.
This interest in, and inquisitiveness about, taste (and flavor) correspondences has often been driven by a combination of artistic curiosity and commercial incentives, especially in the case of the relationship between tastes and visual features, such as shapes and colors (Mick, 1986; Nelson & Hitchon, 1999). For instance, by making appropriate reference to these connections, marketers working with the food and beverage industry have wondered whether they might be able to develop more persuasive product presentations (e.g., Piqueras-Fiszman et al., 2012; Spence, 2021a; Spence & Youssef, 2019; Stewart & Goss, 2013). The core idea here is to try and create designs that are congruent with consumer expectations, which can hence be processed more fluently, and will thus likely lead to a more positive impression of the product (product experience) as a whole (Vogel et al., 2021). Even now, the potential application to real-life marketing design represents a potent driving force behind the majority of such research on the crossmodal correspondences involving visual features. Studies from different perspectives have emerged discussing the designs and implications that might be inspired, or enhanced, by knowledge of such crossmodal vision-taste associations (e.g., Rolschau et al., 2020; Sugimori & Kawasaki, 2022).
To date, several forms of crossmodal correspondence have been documented between basic taste qualities and visual attributes/features such as colors, shapes, and even visually-presented textures. Here, and throughout this review, the basic taste qualities that will be discussed include bitter, sweet, salty, sour, and umami (Duffy et al., 2009; Ikeda, 1909/2002; Kurihara, 2015), although many studies have focused on only a subset of these qualities (Cecchini et al., 2019). Visual-taste correspondences involve the systematic mapping of the basic tastes to one or more dimensions of visual perception. Notably, form-taste (also referred to as shape symbolism or shape-taste crossmodal correspondences) and hue-taste (also referred to as color symbolism or color-taste correspondences) constitute the earliest and most widely studied types (see Spence, 2012; Spence & Levitan, 2021; Spence & Ngo, 2012, for reviews of the color-taste and shape-taste correspondences). Over the past few decades, there has been a rapid development in the published literature on crossmodal correspondences between basic tastes and these two visual attributes. While early studies tended to focus on the within-individual consistency of color-taste matching (e.g., Déribéré, 1978; O’Mahony, 1983), the research that has been published in recent years has gradually shifted to focus on the consensuality of such mappings and people's metacognitive awareness when making their inferences concerning the most appropriate match (e.g., Koch & Koch, 2003; Spence & Levitan, 2021). More recently, studies have started to incorporate online testing methods and to assess the influence of cross-cultural factors on crossmodal correspondences (Spence, 2022; Spence et al., 2015; Velasco et al., 2016b; Wan et al., 2014b; Woods et al., 2013).
Crossmodal correspondences involving gustatory qualities can take place at both a conceptual and perceptual level. People would choose similarly when tasked with connecting the verbal concepts of different senses, as in pairing the words of taste with that of a visual feature (e.g., people typically report that the word “red” matches the word “sweet” and vice versa; O’Mahony, 1983). At the same time, however, these correspondences have also been observed at a perceptual level, such as between color patches and actual tastants (e.g., Saluja & Stevenson, 2018; Velasco et al., 2015b; Velasco et al., 2016a). When manipulated appropriately, the presentation of visual stimuli has even been shown to modify people's expectations and perception of gustatory stimuli (e.g., Liang et al., 2016; Stewart & Goss, 2013; Velasco et al., 2018a). The latest developments in this literature have tended to focus on analyzing the validity of those theories that account for relevant correspondences (e.g., Higgins & Hayes, 2019; Whiteford et al., 2018), that have identified several factors potentially mediating crossmodal associations (Spence & Levitan, 2021). While the understanding of taste-visual crossmodal correspondences has seen substantial progress in recent decades, there remain a number of important questions that have yet to be addressed.
This narrative historical review therefore identifies critical gaps in the academic literature and suggests promising directions for follow-up studies. The review begins with a summary of the documented correspondence between basic taste qualities and visual features, which details the bi-directional matches of taste with color and taste with shape. Then, with reference to the empirical evidence, the prospect of translating associations into designs that may influence taste evaluations and perception is assessed. The final part of the review examines prominent theories concerning the cognitive mechanisms underlying crossmodal correspondences.
Crossmodal Correspondences Between Taste and Visual Features
Over the past few decades, the literature on visual-taste crossmodal correspondences has nearly always analyzed specific visual features, such as color and shape, while distinguishing basic taste qualities (Spence et al., 2015; Velasco et al., 2014). Occasionally, attempts have also been made to assess those correspondences that people have with taste intensity (Saluja & Stevenson, 2018; Wang et al., 2016). These approaches have led to the now well-documented cases of color-taste and shape-taste correspondences. Among them, shape-taste mappings have been broken down into curvilinearity-taste and symmetry-taste correspondences (Salgado-Montejo et al., 2015).
The processing of color and shape takes place in parallel in the visual system (Desimone et al., 1985; Goodale et al., 1994; Pickford, 1948). In fact, the neurophysiological evidence shows that the processing of visual information is more specialized and occupies a far greater part of the neocortex than does the processing of gustatory information (Felleman & Rakic, 1991). In contrast, gustatory information processing is primarily concerned with identifying the taste quality and determining the intensity of the signal (Carleton et al., 2010). Given that humans are visually-dominant (Hutmacher, 2019), one might reasonably expect that associations with visual features would be the most frequently investigated types of crossmodal correspondences with taste.
The following sections summarize previous attempts to document the crossmodal associations that have been established between taste qualities (and taste intensity) and specific visual features. Where such information is available, the cross-cultural consensuality of the association patterns will also be discussed. By building up the case with relevant evidence and highlighting some of the key gaps in the academic literature, this chapter provides an opportunity to systematically reflect on the progress that has been made in the field to date.
Crossmodal Correspondences Between Basic Tastes and Colors
Color (specifically, hue) is one of the most widely-studied visual features in the literature on crossmodal correspondences that has been published to date, offering arguably the most “natural” link to basic taste (Wan et al., 2014a). With color effectively indicating various food properties, people have learnt to rely on color cues to identify and evaluate food through millennia of foraging activities (Lieberman, 2006). The last few decades have seen a wealth of research dedicated to mapping out the crossmodal associations between color and basic taste qualities, making use of a variety of experimental approaches to assess how people match color with taste. In its most primitive form, a possible system of color-taste associations was first entertained by the marketing and advertising industry to help promote powerful communication in visual designs (e.g., Favre & November, 1979). With fewer theoretical frameworks to work with, these early discussions would appear to have been inspired by people's intuitions, with seemingly little to no empirical data (or at least none made publicly available) to support the claims. Favre and November’s (1979, p. 31) book on color marketing, for instance, lacked any citations to underpinning scientific research (as highlighted by Ernst, 1980). Despite the critics, the mappings documented by these early studies have been shown to be consistent with many of the later findings obtained over the subsequent decades (see Spence & Levitan, 2021).
One of the earliest studies to have documented color-taste correspondences was conducted by the French chemical engineer Déribéré (1978) in relation to his discussion of the connections between perfume and color. At one point, Déribéré casually reports the colors most frequently associated with the four basic tastes (see Table 1). As the study was of a supplementary nature, little information was provided about the methodologies used to obtain these matches (nor the sample sizes involved). The relationship between tastes and colors was not examined in the paper, as Déribéré chose not to comment on his results and made no speculations about the origin of the correspondences.
The Color Associations of Four Basic Tastes Established in Different Studies.
Note. Dash (-) denotes no color associations found for the given taste.
Closest hue category based on the names used in Déribéré’s (1978) questionnaire.
Approximate hue category based on the color schemes recommended.
Approximate hue category based on the color panel presented to the participants.
Among the pioneering attempts to document color-taste matches, a much more comprehensive study was reported by O’Mahony (1983), in which students (N = 51) were tasked with picking one from a list of 12 common color terms (red, orange, yellow, green, blue, violet, brown, black, white, gray, silver, and gold) “to describe” each of the four basic tastes. These tasks were carried out three times, separated by two-week intervals. Critically, unlike most of the later studies, the method used by O’Mahony involved assessing within-participant consistency by determining the proportion of the participants who consistently picked the same color to match with a given taste each time they were asked. This approach may well have excluded those cases in which a participant considered a taste as matching with more than one color. Note also that such a closed responding design would have restricted the discovery of color matches to the set of hues selected by the researcher.
Curious about how color appearance might affect taste perception, Koch and Koch (2003) developed a survey to examine the associations that participants held between ten common color words (red, green, yellow, blue, brown, orange, purple, black, gray, and white) and four basic taste qualities. The participants (N = 45) had to rate the intensity of every basic taste quality for each color with questions such as “how sweet is the color red?” Contrasting with O’Mahony’s (1983) study, in which the researcher collected votes of the single most strongly associated color for a given taste, Koch and Koch assessed the strength of associations between the colors and tastes. Although still limited to the options presented by the researchers, this approach revealed some of the color-taste associations previously overshadowed by more dominant colors. For example, red was regarded as the only “sweet color” in O’Mahony's study because their participants could only pick one color, but Koch and Koch found orange to be another significant match for sweet (see Table 1).
Even though the approach used by O’Mahony (1983) only recorded the most frequently selected color for each taste quality when compared to Koch and Koch’s (2003) or Déribéré’s (1978) findings, the three studies nevertheless still exhibit a high degree of consistency among the established color-taste pairs (see Table 1). Putting these findings together, it would appear that people find bitter to be the most ambiguous taste to match with a particular color. According to the results of O’Mahony's frequency analysis, only a small number of the participants (12 out of 51) consistently associated bitter with a specific color, of which no color stood out as a consensual choice. Similarly, in Koch and Koch's chi-square analysis, although there was a statistically significant association between bitter and black, the authors did not consider the relationship to be a reliable one. Such ambiguity could partially be attributed to the confusion surrounding the taste labels of bitter and sour in some individuals (e.g., O’Mahony et al., 1979). As discussed in the later parts of this review, some recent studies have also discovered a similar trend when testing the color correspondences of bitterness in participants from more diverse cultural backgrounds (Raevskiy et al., 2022) and with real tastants (i.e., rather than with taste descriptors; see Sugimori & Kawasaki, 2022).
Some common limitations can be identified when looking back at the early visual-taste crossmodal correspondences experiments, shared by the studies covered thus far (and also by the majority of the other early research). For example, instead of using actual color stimuli, such as a palette or a swatch chart of colors, the researchers presented verbal descriptions of colors in their association tasks. On the other side of the correspondence, the concept of taste qualities was typically also represented by the words describing the basic tastes (i.e., standing in for actual gustatory stimuli). Using the results of such research to support the existence of specific color-taste correspondences would require the assumption that lexical representations do indeed provide a reasonable approximation of sensory stimuli. This question was also raised in Simner et al.’s (2010) a posteriori analysis on the usage of verbal labels when matching crossmodal concepts, in which they speculated that the use of linguistic stimuli may have exerted an unanticipated influence over mappings when compared to mappings between sensory stimuli.
Another potential limitation of these early studies is relying on participants from a restrictive demographic and therefore assuming the data collected to be representative of the population at large. With college students being the only source of recruitment, the findings in the studies discussed so far (e.g., Koch & Koch, 2003; O’Mahony, 1983) were restricted to a very specific demographic, one that is nowadays often described as WEIRD (i.e., people from Western, Educated, Industrialized, Rich, and Democratic backgrounds; Henrich et al., 2010). Although the lack of a broader representation has not been cited as a criticism of the validity of the research, it is commonly maintained that many types of crossmodal correspondence are subject to a certain degree of cultural variations (see Liang et al., 2016; Chen et al., 2016; Raevskiy et al., 2022).
Wan et al. (2014b) organized a large-scale online study to address the potential biases produced from over-sampling WEIRD populations. Wan et al. (2014b) tested crossmodal correspondences involving the five basic tastes (including umami/savory) and 11 color patches (black, blue, brown, green, gray, orange, pink, purple, red, white, and yellow). 428 participants were recruited from four countries (China, n = 144; India, n = 113; United States, n = 117; and Malaysia, n = 54) of distinctively different cultural backgrounds, and ranged from 17 to 66 years of age. The results revealed a similar pattern of color-taste correspondences across different cultural groups, with a high degree of consistency when compared to the previous findings (i.e., Koch & Koch, 2003; O’Mahony, 1983). For instance, the participants matched pink with sweet, green with sour, white with salty, and bitter with black. Some minor discrepancies were also observed in terms of specific matches. So, for example, the matching of yellow with sour was noticeably missing among the Indian participants, while the white-salty match was reported significantly less often by the participants who were from mainland China (see also Liang et al., 2016).
Recently, Raevskiy et al. (2022) extended the study of such cultural similarities and differences in color-taste associations to individuals (N = 338) from a range of non-Western backgrounds. They found the color associations of sweet, salty, and sour to show a high degree of consistency among participants from Japan (n = 136), Russia (n = 102), and Taiwan (n = 100), following the pattern established by the prior research (see Table 1). However, the color representations of bitter taste appeared to vary somewhat from one culture to the next (although a consensus was formed around dark green and brown), which happens to be in line with the ambiguity of bitterness reported by O’Mahony (1983) and Koch and Koch (2003). The most drastic difference was obtained between the Russian and East Asian participants when matching colors with the taste of umami; the patterns of lower consensuality and higher diversity in the results reported by the Russian participants seem to be caused by the lack of knowledge and familiarity in their culture. Curiously, yellow was reported as a color that was associated with the taste of umami by the Japanese participants, agreeing with the Ikeda’s (1909/2002) intuitions when he first scientifically reported on the existence of umami more than a century ago (though Brillat-Savarin, 1835, described something very similar almost 70 years earlier).
This pattern of cultural universality with occasional minor discrepancies has also been documented in other areas of crossmodal correspondences research. For instance, Jacquot et al. (2016) explored cultural differences between the UK (n = 59) and France (n = 60) regarding odor-color correspondences. Of the 16 odors that they tested, three were found to be associated with different colors by the two populations. Here, though, it should be noted that even among the odors matched differently between the two cultures, the disagreements were fairly subtle (such as blue-green in the UK vs. green in France, or pale yellow in the UK vs. orange in France).
Contrary to the paradigms used by O’Mahony (1983) and Koch and Koch (2003), Wan et al. (2014b) used color patches as stimuli rather than color words in the association task. Essentially, in addition to demonstrating cross-cultural consistency in color-taste crossmodal correspondences, Wan et al. (2014b)’s findings also support the feasibility of using color words in taste association research, as both color labels and the actual color patches appeared to have yielded a generally consistent mapping of taste to color. Although the color patch and color word gave rise to an identical pattern of taste associations in Wan, Woods et al.'s study, it is unknown if they were driven by the same underlying mechanism. As suggested recently by Pedović and Stosić (2018), taste information conveyed by the visual sensory stimuli could perhaps be induced and mediated by different factors than were conveyed by the word stimuli. The factors that might mediate the operation of visual-taste correspondences will be further discussed later in this review.
Crossmodal Correspondences Between Taste and Shape
Similar to the crossmodal correspondences that have been documented between color and taste, a wealth of empirical research now demonstrates the existence of crossmodal correspondences between abstract shapes and basic tastes (Spence & Ngo, 2012). What is more, interest in understanding the mapping of basic taste and shape can once again be traced back to food marketing, particularly the desire to be able to predict, or perhaps even to manipulate, people's taste expectations using shape (Cheskin, 1967; Dichter, 1971; see Chitturi et al., 2019, for a contemporary example). In the relevant literature, shape is typically reduced to a handful of basic components; notable examples are curvilinearity (roundedness/angularity), symmetry, shape weight (thinness/thickness), and segment complexity. As summarized by Velasco et al. (2016c), the majority of shape-taste studies that have been published to date have chosen to focus on curvilinearity. Among these studies, a consensus has been reached on the mapping between curvilinearity and the five basic tastes. People typically associate rounded shapes with sweet taste, while associating angular shapes with sour, salty, bitter, and umami tastes.
The idea of pairing sweet taste with rounded shapes and bitter taste with angular shapes has been floating around in the literature for more than half a century now (Dichter, 1971; see Spence & Ngo, 2012, for a review). That being said, there have been far fewer studies on the taste-shape correspondences than on taste-color correspondences (Velasco et al., 2016c). Marks (1978, pp. 186–191) commented on the similarity of tasting and touching, noting how the linguistic history of certain adjectives (e.g., “sharp”) had shifted over time from first describing touch to later taste and now visual shapes. Relevant to the affective account, a theory that places emotion as the key mediator between the crossmodal connections, Marks (1978, p. 75) even suggested hedonic value to be responsible for the qualitative similarity between intrinsically pleasant stimuli. According to the affective account, this similarity would, in turn, motivate people to associate properties of a similar hedonic value, such as sweet taste and rounded shapes.
The first study to have assessed the putative links between shapes and tastes was essentially an exploratory investigation on the synesthesia of “tasting shapes” (Cytowic & Wood, 1982). Synesthesia refers to the involuntary and automatic sensory experience (i.e., concurrent) that is sometimes perceived in one sensory modality in response to the stimulation (an inducer) in another modality (Cuskley et al., 2019; although see Simner et al., 2005, for the intramodal synesthesia between graphemes and colors in synesthetes). The study conducted by Cytowic and Wood focused on the experience of geometric shape concurrents experienced by a synesthete when exposed to a gustatory (inducing) stimulus. They also collected the associations reported by three neurotypical individuals (i.e., non-synesthetes) in their shape-taste matching survey. While such a small sample size is, of course, unlikely to deliver crossmodal mappings that are in any sense statistically meaningful, the study nevertheless represents what we believe to be the first published attempt to document how non-synesthetic individuals would choose to associate taste with geometric shapes. Because the shape stimuli used by Cytowic and Wood were developed on the idiosyncratic intuitions of the study's one synesthetic participant, the results cannot be interpreted as providing a conventional match between tastes and specific geometric features. That said, some interesting patterns can nevertheless still be observed: For instance, the three non-synesthetes all picked a sphere-like shape to match the sweetest taste; They also picked a pointy pyramid (e.g., triangular, square, or pentagonal pyramid) to match the sourest taste (see Table 2).
Shape Features Associated with Each of the Basic Tastes.
Note. Dash (-) denotes links that were assessed but no significant effect was found to suggest a meaningful association.
The original data were insufficient for statistical analyses; the associations listed here are those observed to be a noticeable trend.
Among the later studies that have examined the crossmodal mappings between basic taste and shape with a more systematic approach, the pairings of rounded shapes with sweet and angular shapes with other tastes (sour, salty, bitter, and in the relevant cases, umami) have been observed consistently (e.g., Deroy & Valentin, 2011; Ngo et al., 2011; Velasco et al., 2015a). In general, these studies have adopted a similar design to probe the crossmodal association between shape and taste: The participants were asked to find a position for the presented taste stimulus on a Visual Analogue Scale (VAS; see Figure 1) or a Likert scale. The two ends of this scale were anchored by an angular shape and a rounded shape, respectively.
A mock-up of the visual analogue scale (VAS) used to collect the degree of shape curvilinearity.
Up to this point, most studies on shape-taste correspondences have chosen to focus on the contour angularity of shape, otherwise known as curvilinearity, while other geometric features have remained relatively untouched. After analyzing several geometric features and their prospect of being associated with positive emotion, Salgado-Montejo et al. (2015) introduced the concept of visual symmetry/asymmetry into their experiment. Salgado-Montejo et al. formulated their hypothesis based on the previous findings that shapes with symmetric characteristics are typically rated as pleasant (see Makin et al., 2012) and more likely to be associated with tastes of similar valences, such as sweet and umami. For their study, Salgado-Montejo et al. designed a series of shapes varying not only in curvilinearity but also in symmetry and segment complexity (see Figure 2). Additionally, participants were recruited from the United Kingdom (n = 15) and Colombia (n = 18) to identify any cross-cultural differences between these two countries. The symmetry and segment complexity of shape was found to exert a considerable influence over participants’ associations with taste. In both countries, symmetrical shapes and shapes with fewer elements were more consistently matched with a sweet taste. A significant interaction was also observed between symmetry and fewer elements, which led to sweeter ratings in both countries, indicating synergy between the different visual attributes when conveying taste information.
The visual stimuli varying in terms of three shape features: curvilinearity, symmetry/asymmetry, and segment complexity.
Following the confirmation of visual symmetry-taste correspondences, Turoman et al. (2018; N = 90) went on to investigate how specific types of shape symmetry would influence the pattern of shape-taste associations. They demonstrated that shapes with both reflectional and rotational symmetry were rated as more pleasant and found to be most strongly associated with the taste of sweetness, followed, in decreasing order, by shapes with only bilateral symmetry and asymmetric shapes; Sour and bitter were associated with these features in precisely the opposite manner. Critically for the affective theory, Turoman et al.'s research has also contributed an evolutionary account to the explanations of the underlying mechanisms of crossmodal correspondences (Salgado-Montejo et al., 2015). The correlation between sweetness and pleasantness ratings found in their study was in line with the prediction of a preference-driven association between symmetrical features and sweet taste. However, as Turoman and their colleagues noted, their findings should not be taken as providing definitive evidence of a causal link between valence evaluation and taste association.
While all basic taste words were found to have a robust match with either rounded or angular shapes (e.g., Deroy & Valentin, 2011; Spence & Ngo, 2012), there appears to be a noticeable discrepancy in terms of the mappings when the participants actually tasted the stimuli. The contrast between taste words and real tastants was highlighted by Velasco et al.’s (2015a) study, in which the shape association of taste words and real tastants was measured using a VAS angularity scale. Like other reports, when using taste words as stimuli, the participants consistently matched tastes with shapes following the previously-established pattern. However, with real tastants (n = 12), the observed patterns in their results were somewhat different. In particular, Velasco et al. reported that the sweet-tasting solution was matched with rounded shapes, but no significant association was documented for the other basic tastes (sour, salty, bitter, and umami).
Subsequently, Velasco et al. (2016a) conducted a similar study with real tastants delivered at two concentrations (N = 19). This time, the researchers found that sour and sweet tastants were associated with angular and rounded shapes, respectively. The salty tastant was also associated with angular shapes when administered at the lower concentration, but there were no observable taste-shape associations for either the bitter or umami tastants. In an attempt to determine what other factors might influence the shape matches, Velasco and his colleagues also had their participants rate their liking for, and the perceived intensity of, each of the solutions they tasted. Their regression model demonstrated that the concentration of the tastant and liking predicted more than half of shape matches by accounting for approximately 59% of the variance in curvilinearity ratings. These results suggested the three factors (taste quality, concentration, and valence) to be significant predictors of the shape curvilinearity that was found to be associated with the given stimulus.
Looking back over the studies that have been reviewed thus far, there exists a clear trend of taste correspondences for shape features in terms of curvilinearity and symmetry. While taste word associations with shape are consistent for all basic tastes, this consistency does not fully translate when matching real tastants with shapes. Curvilinearity was less consistently matched with the non-sweet basic tastes when assessed with real tastants, especially with those solutions that were bitter (Velasco et al., 2015a; Velasco et al., 2016a). One possibility here is that taste words, especially the non-sweet tastes, are associated with a more negative valence when processed linguistically. In other words, seeing sour, salty, bitter, and umami is evaluated as a more unpleasant or undesirable experience than actually tasting them. Consequently, presenting non-sweet taste words results in stronger taste associations than physically administering the actual tastants (Marks, 1996). Another explanation holds that the heightened sensitivity to bitterness has led to the inhibition of arousal systems (Kalat & Rozin, 1973), which, in turn, may have suppressed people's tendency to look for visual associations whenever the perceived taste intensity is low (Sugimori & Kawasaki, 2022).
Comparing Taste Words With Actual Tastants
As discussed in the section on shape-taste correspondences, the consistency of taste mappings would appear to fluctuate somewhat between those experiments that have incorporated real tastants and those that have used taste words instead. Granted that the difference by itself is not a contradiction, it can nevertheless be a cause for concern among researchers if taste words fail to offer a satisfactory measure of the shape-taste matching as the real tastants have been shown to do. Meanwhile, the studies on color-taste correspondences that have been presented so far have also used taste words to assess associations; participants in these studies did not taste any stimuli when making their color associations. Two issues can be raised here: First, associations established with verbal taste stimuli might differ from those assessed with sensory stimuli. Second, those patterns that have been established on the basis of matching taste words might not work as expected when they are used to devise designs that wish to influence taste expectation or perception (e.g., in the case of food marketing; Aoki & Akai, 2022).
In a Stroop study carried out by Razumiejczyk et al. (2015), participants (N = 105) had to call out the name of the fruit shown on the screen as rapidly as possible after having tasted a scoop of fruit slurry without having seen it. This task was carried out while looking at an onscreen cue word. The participants completed the task in three different conditions: The word on screen could be the name of the fruit that the participants were tasting (congruent condition), it could also be the name of a different fruit (incongruent condition), or it could be the name of an inedible object (control condition). Overall, the researchers documented shorter RTs and higher accuracy rates for name identification when the screen text happened to be congruent with the tastant. The Stroop effect found here suggested that gustatory experience would compete with visual linguistic information for attentional resources. Razumiejczyk et al. concluded that their findings provided evidence for the crossmodal integration of taste (sensory experience) and taste words (lexical information). It should, however, be noted that the integration of sensory and verbal stimuli does not guarantee the same crossmodal mapping patterns when matched with visual features.
Previously, Demattè et al. (2009) reported on a series of similar discrimination tasks, in which the participants (N = 41) had to make speeded identification responses to odorants while being presented with either congruent or incongruent visual stimuli. These visual stimuli either had a shape resembling the silhouette of a fruit or the color of a fruit, which reflected the smell presented in the congruent condition. As Demattè et al. expected, they found an interference effect caused by the visual distractors in the incongruent condition. One explanation offered by the researchers suggests that verbal representations were implicitly engaged in memory during the decision-making process of odor identification, the possibility of which would help to strengthen the feasibility of guiding perceptual expectations with verbal cues (Naor-Raz et al., 2003).
While the use of verbal stimuli in crossmodal correspondences research has never been seriously challenged, it remains a potential issue that could limit the effectiveness of any attempts to modify sensory perception in real life. As such, Saluja and Stevenson (2018) tested color-taste matchings using tastant solutions (i.e., instead of words referring to basic tastes as used in the majority of the previous research). The participants in their study (N = 50) picked a hue from the color wheel to match with a basic taste after having tasted it in solution. Their mapping of color and taste was highly consistent with the prior literature that had used verbal stimuli. In other words, the color associations made with real tastants were comparable to those made with taste words. Combined with evidence from Razumiejczyk et al.’s (2015) study, it would therefore appear safe to conclude that using taste words in crossmodal matching experiments involving taste provides a practical alternative to using real tastants.
Returning to the patterns of color-taste correspondences that were reported by O’Mahony (1983), Koch and Koch (2003), and Raevskiy et al. (2022), the associations between bitter and its matching colors were notably less consensual than for the other tastes. With reference to the habituation effect of more accessible stimuli, the ambiguity around bitterness could partially be related to the fact that the detection threshold of bitterness is the lowest among all the basic tastes (i.e., requiring the lowest concentration to be detected; McLaughlin & Margolskee, 1994). It should also be noted that there is a larger variety of bittering agents (sometimes referred to as bitterants) and a broader distribution of bitter taste receptors than for any of the other tastes (Adler et al., 2000). Perhaps, therefore, the distinctiveness of bitter taste perception may have tuned the discrimination and sensitivity of this basic taste quality in a manner that is qualitatively different from the others (Kalat & Rozin, 1973; see also Mura et al., 2018).
By asking participants (N = 342) to taste chocolate and green tea of varying levels of bitterness, Sugimori and Kawasaki (2022) were able to investigate the effect of taste intensity on color-taste correspondences. The food and drink were offered to participants at two different levels of bitterness (strong or weak). In terms of visual presentation, the chocolate was wrapped in either black or pink paper; green tea was filled in a translucent plastic cup having either a clear or blue tint. The participants tasted the sample stimulus and evaluated its sweetness and bitterness in each condition. Sugimori and Kawasaki's results revealed that color information modified taste perception only when the participants happened to be tasting the more bitter food/drink. For bitter chocolate, the pink wrapper resulted in the chocolate being rated as tasting sweeter, while the black wrapper resulted in it being rated as tasting more bitter instead. The bitter green tea tasted from the clear cup was rated as tasting sweeter and less bitter than when tasted from the translucent blue cup. However, when tasting chocolate and green tea that was less bitter (i.e., the weaker level), no difference was found between any color pair for either the sweet or bitter ratings. While the underlying mechanism behind these findings has yet to be confirmed, it seemed as if tasting the less bitter stimulus inhibited vision's influence over taste perception.
As far as shape-taste correspondences are concerned, although numerous studies have documented the matches between real tastants and the shapes with either angular or rounded features (e.g., Velasco et al., 2015a; Velasco et al., 2016a), there has been a notable absence of attempts to map the verbal terms of shape features to basic tastes. Understandably, there might not be much commercial interest in the taste associations of some geometric descriptions (as in spelling out the word) such as “asymmetric” and “rotational,” as they are rarely used as verbal terms in product design (or flavor descriptions). On the other hand, product presentation occasionally demands sophisticated verbal descriptions and analogies; terms like “thin acidity” and “round bodied” are commonly used by the alcohol industry to introduce their products. Moreover, investigating the link between verbal and sensory stimuli may well turn out to be a rewarding area for those wanting to understand the origin of shape-related associations. If shape-taste correspondences have such a deep root in linguistic development as has been suggested previously (Marks, 1978, pp. 186 − 191), the verbal stimuli describing shape features might behave in a similar manner to the abstract shapes.
As demonstrated by Saluja and Stevenson (2018), it would appear that the associations mapped between the lexical concepts of taste and color can provide an accurate representation in lieu of presenting actual sensory stimuli (which comes with its own practical challenges). What this means for researchers is the reassurance to design future studies with taste words, giving more confidence in using online experiments and less pressure to implement real tastants. When attempting to influence actual taste perception, more recent results from Sugimori and Kawasaki’s (2022) study highlighted a qualitative difference in the color-taste correspondence supposedly introduced by the varying intensity of bitterness. Essentially, testing with real tastants could raise and settle questions previously omitted or inaccessible when researchers only experimented with taste words. Consider, for example, how challenging it would be to formulate an experiment that manipulates the intensity of bitterness using only lexical stimuli. Interestingly, the results of these two studies have settled the question of testing with taste words, yet, at the same time, they encourage future studies to depart from the traditional path and consider the gains in adopting naturalistic settings.
Theoretical Accounts of the Visual-Taste Crossmodal Correspondences
In the previous sections of this review, a few theories attempting to account for the spontaneous associations between taste and a range of features of different visual channels have been mentioned briefly, often as part of the effort to understand the mechanism(s) underpinning crossmodal correspondences. In recent years, progress has undoubtedly been made in our attempts to understand what could have encouraged people to connect taste qualities and specific visual features. Spence and Levitan (2021) evaluated a few popular explanations behind the associations between features of different modalities. Unlike the general consensus concerning the mapping patterns, there remains ongoing debate concerning those factors that may give rise to, or mediate, crossmodal associations. Prominent theories refer to the role of emotion, language, and learning when people infer, or match to color, shape, and taste. However, it appears that none of the currently popular theories can by themselves explain all the variance that has been documented in the data (Spence, 2011; Wang et al., 2016). As Spence and Levitan point out, the various accounts should not be considered as being mutually exclusive when explaining the operation of crossmodal correspondences, each mediating factor might exert a different degree of influence depending on the visual and gustatory stimuli under consideration.
This section provides a summary of the various theories that have been put forward to account for the numerous different visual-taste associations reported to date, as well as evidence that directly or indirectly supports those theories. Where applicable, speculations are made concerning how the various accounts would predict the outcome of popular research questions yet to be addressed, and how novel paradigms can help verify the hypotheses of theoretical questions.
Internalization of the Multisensory Statistics of the Environment: the Statistical Account
When discussing the origins of color-taste crossmodal correspondences, the formation of these crossmodal associations can be compared to the associative learning that results from accumulated observations, which saw the onset of one sensory feature predicting the likely presence of the other (Spence, 2018). In this regard, the robust association between sweet and red is perhaps based on the adaptive behavior whereby colors are used to determine the ripeness of fruit/leaves (Dominy & Lucas, 2001; Lee et al., 2013; cf. Sumner & Mollon, 2003). In addition to the hue, the saturation of redness has also been shown to correlate with the sugar content present in fleshy fruits such as strawberries (Jia et al., 2013; though people also correlate lower energy levels in foods to a greener appearance, Foroni et al., 2016). It has been suggested that these important statistical correlations in the environment could have contributed to the robust crossmodal correspondence that has been documented between color saturation and taste intensity (Saluja & Stevenson, 2018). Additionally, aeons of fruit foraging (and consumption) activities in human history may have helped to reinforce the expectation of sweetness when seeing redness, or the lack of greenness, in food (Foroni et al., 2016; Lieberman, 2006).
Beyond the associative learning motivated by adaptive behaviors, people may register and internalize the associations between regularly co-occurring stimuli when interacting with, and learning from, concepts and objects in the environment (Barlow, 2001). The projection of these internalized connections to visual-taste inference provides an intuitive explanation for many types of crossmodal correspondence. The statistical account emphasizes the intricate connection between food and its visual appearance, suggesting that people pick-up on color cues when consuming food and internalize them as the association between color and taste (Spence & Levitan, 2021). Such a theory is backed by the evidence that most color-taste associations could be rapidly picked-up by adults (Higgins & Hayes, 2019) and infants (Reardon & Bushnell, 1988). However, for certain associations, the statistical correlations might not be readily available for internalization. For example, the picture is not as clear-cut for shape-taste associations due to the lack of a statistical relationship between geometrical features and taste qualities.
If crossmodal associations are acquired from the environment, there should be changes over years of development in the food and agricultural industries and perhaps some cultural variation too. The shift in the environment can be surprisingly rapid, for instance, linked to the introduction of artificial coloring in food products and increasingly frequent cultural exchange (Kagliwal, 2020). Spence (2021b) highlighted how the connotations of blue food have gradually shifted from it being seen as an artificial color associated with raspberry flavor (e.g., in candy floss and Slush Puppie drinks) to a natural food coloring that is not associated with any particular taste/flavor over the last 70 years or so. However, there does not appear to be a noticeable shift in the general mappings of color-taste correspondences, presumably due to the relatively short recorded history (e.g., Déribéré, 1978). It would certainly be intriguing if the shift over a more extended period could be analyzed retrospectively, such that a comparison could be made before and after the widespread introduction of artificial food colorants (e.g., see Downham & Collins, 2000; Wilson, 2008).
Contextual cues exert a considerable influence over the associations between color and taste (Spence, 2021b); other elements in the environment might be used to make more efficient inferences (Elliot, 2019). It has been suggested that people may draw inferences from external sources to associate taste with color depending on their own idiosyncratic experiences (Schloss et al., 2015), probably involving the weighting of preference, expectation, and context (Meier et al., 2012; Schloss & Palmer, 2017; Spence & Levitan, 2022). However, it remains uncertain how these different sources are weighted in order to calculate the goodness-of-fit of potential matches. It is possible that, when inferring color-taste associations, assessors may not just refer to a specific mediating object but also consider how appropriate their inference will be relating to the other plausible candidates (Schloss et al., 2018).
Hypothetically, learning how the inference is made from an ensemble of colors could grant researchers an insight into the process underlying color-taste associations. This type of ensemble can be portrayed by a color profile that happens to resemble a ubiquitous mediating source, such as, say, extracting different shades of red and green in a ratio that is matching to the typical image of a strawberry (see Figure 3; with algorithms implemented by Krzywinski, 2022). If people were to estimate the taste of a cluster of colors in this proposed paradigm, their response would likely be regulated by the mediating object more than representing the sum of constituting colors (e.g., Woods et al., 2016). For example, people might find the combination of saturated yellow and black to resemble a ripe banana, therefore associate this color arrangement with sweet instead of sour or bitter. More crucially, the paradigm can be used to manipulate certain information of the context to learn how environmental cues can be used to guide the inference of taste.
The multicolor paradigm suggested by the current review to examine whether people's access to mediating objects guides their taste expectations.
The Link Between Artificiality and Transparency
Some contextual cues can change how people perceive a visual feature's connotative meaning. For example, artificiality might turn a typically aversive hue (such as blue color in food; see Lee et al., 2013) into a symbol of excitement and attractiveness (see Spence, 2021b). Consider here only how, in everyday life, soft drinks and jellies are the most frequently encountered transparent colored food, which happen to be often artificially dyed in bright colors and constantly associated with a high sugar content (Spence, 2019, 2021b). Supposedly, then, people will associate “seeing through” appearances with artificiality and the presence of sugar. Therefore, it is worth entertaining the idea that color transparency could be used to convey a sense of artificiality in food. However, no known studies have explicitly confirmed this putative relationship between artificiality and transparency.
Velasco, Michel et al. (2016) displayed six translucent cups holding the same liquid of different colors and had around 5,000 participants pick the sweetest-looking from among the six colored drinks. Contrary to the conventional color-taste mappings that have been recorded (where blue is seen as the least sweet color; Woods et al., 2016), blue was found to be the second sweetest drink after red. However, it is unknown if the association is mediated by a relevant source object (or drink), such as reminding participants of a specific energy drink or ice slushy. Since Velasco, Michel et al. conducted their experiment in a museum, it is impossible to unravel whether the cup, the liquid, and/or the environment may have provided any contextual clues. Perhaps this can be assessed in a laboratory setting with abstract colors of varying degrees of transparency (see Figure 4), with the see-through effect simulated by creating contrast with background elements. The proposed design could be a simple color-taste matching survey but with transparency being one of the variables, which will allow researchers to investigate the role of “seeing-through” texture (or rather a peculiar visual property). By doing so, the participants will be able to assess the taste of these visual stimuli without being distracted by the product-extrinsic factors such as the connotative properties (or semantic associations) of the receptacle (see Figure 5). Consider the increasing popularity of the blue alcoholic drinks on the supermarket shelf, it might be in the interest of marketers to explore how to put this link between artificiality and transparency to work and control the degree of novelty or excitement their products convey.
Examples of the visual stimuli varying in their degree of transparency.
A previous study conducted by Wan et al. (2014a) in which the researchers also presented drinks (beverages) of different colors in a translucent receptacle.
Mediating Shape-Taste Associations by Means of Crossmodal Statistics
Compared to color, attributes of shape curvilinearity such as roundness and angularity would seem less likely to be internalized along with a given food quality. The appearance of curvilinearity is not as categorical as that of color. It would be easy to label a banana as “yellow” but tricky to definitely categorize the shape of banana (i.e., a dull-edged crescent) as round or angular due to the ambiguity. The discriminability and distinctiveness of color hues would have assisted the generalization of the visual experience as there is little ambiguity among competing cues (Urushihara & Miller; 2009). It is also evident that most natural foods do not possess a predominantly curvy or angular visual appearance; they instead constitute a myriad of geometric features with curvilinearity characteristics that are more or less arbitrary. Although some geometric patterns can occasionally be observed, the internalization was likely prevented by the lack of reliable regularities (Barlow, 2001). Considering the global assignment model used in the inference process as proposed by Schloss et al. (2018) and supported by their study, even if there exist certain food sources appearing with very characteristic curvilinearity features (or even with a basic geometric shape), assessors might reject making the inference since they know that such a connection would not target valid statistical relationship.
The curvilinearity features are not likely to exploit a definite source object as the mediator when being matched with a taste. However, the outlined shapes of an object, composed of various angular and rounded contours, can successfully cue the presence of a mediating object (Okuzumi et al., 2015). Arguably, the connection between the object and its outline is not strictly the product of the internalization of crossmodal statistics, as making these connections does not involve computing the probability of the regularities between modalities. In many cases, it would be the basic executive functions such as object recognition that drives the observer to connect a shape with a particular food (Archibald & Kerns, 1999; Landau et al., 1988). Although not necessarily pertaining to the inference of taste, the food and beverage industry has been enjoying the benefits of object recognition for more than half a century now as, for example, by Jif brand's lemon juice in their iconic lemon-shaped container (Pell, 2021).
People would presumably associate the silhouette of a lemon with a sour taste (see Demattè et al., 2009) while associating an oval shape of a similar size with a sweet taste. One may wonder how skeuomorphic (i.e., realistic, resembling, or symbolic) a shape must be to convince viewers that they should link the shape to a specific object. A paradigm can be devised to assess the taste association of a spectrum of visual stimuli, ranging from abstract shapes all the way through to pictorial symbols, and determine the degree of realism required for people to start considering the mediating role of a source object (see Figure 6). Assuming that the other mediating factors are rejected whenever a source object is accessible, the participants in this paradigm might suddenly realize (when viewing more and more skeuomorphic shapes on this spectrum) that they are inferring the taste of pizza and immediately associate the stimulus with salty and possibly umami. Alternatively, if different mediating factors cooperate and coexist to help infer the taste of the stimuli, the salty rating will only gradually increase as more geometric features are added to the stimuli to resemble the pictorial symbol of a pizza.
A hypothetical set of stimuli that manipulates the degree of object resemblance to examine the chances of establishing crossmodal correspondences via a mediating object.
Overall, it would appear that the theory of the internalization of environmental statistics could account for some of the crossmodal correspondences between taste and visual features reasonably well, particularly between taste and color, that have been documented to date. This claim could be further strengthened if a shift in the color-taste mappings can be found and attributed to the changes in the environment over time, such as the widespread application of artificial food dyes (Spence, 2021b) and the development of agricultural products (e.g., selective breeding and domestication of crops; Gracia et al., 2020). On the other hand, because shape features are less likely to generate statistical relationships when appearing with foods, the statistical account is certainly less capable of explaining the taste associations of curvilinearity than of color.
Crossmodal Correspondences Mediated by Emotions: The Affective Account
Certain crossmodal correspondences are more plausibly mediated by emotions than by reference to the internalized connections of co-occurring stimuli (Wang et al., 2016). As demonstrated by the small number of studies that were reviewed in the previous sections, there has been a trend in investigating the role of valence not only when matching basic taste qualities with visual features, but also in the wider literature on crossmodal correspondences (e.g., Turoman et al., 2018; Velasco et al., 2015b; Velasco et al., 2018b). The affective account holds that if different concepts happen to be regarded as possessing a similar hedonic tone, the similarity of the emotion that they induce will inspire the assessors to connect these concepts (Whiteford et al., 2018). For example, most people consider sweetness to be pleasant, and they also happen to like the rounded, curvy shapes supposedly because they find those features approachable (Velasco et al., 2016a; Velasco et al., 2016b; though see Palumbo et al., 2015, for what exactly it is about rounded shapes that makes them preferable). Therefore, according to the affective account, sweet taste and rounded shapes may be associated because both are associated with positive emotion.
When researchers assessed the hedonic values of the concepts being matched in shape-taste correspondences, the associations involving geometric features such as curvilinearity (Velasco et al., 2016b) and symmetry (Salgado-Montejo et al., 2015) would seem to suggest that they are matched because a similar emotion is induced. The basic tastes and their matching geometric features can be closely mapped onto the semantic space of emotion: Sweet, rounded, and symmetric shapes all map to a pleasant emotion, which agrees with the sweet-round and sweet-symmetry associations as reported by the previous studies. Similarly, other taste qualities and geometric features sit closer to the negative emotions when being mapped to the semantic space, which is also in line with patterns observed in other shape-taste associations. The fact that emotion mappings conform with the shape-taste mappings, combined with the lack of statistical correlations for most of the associations between shape and taste, would appear to suggest that the affective account provides a plausible alternative to the statistical account (Spence & Deroy, 2014).
There have also been attempts to assess the hedonic tone of color attributes. So, for example, the hue, saturation, and brightness of color have all been found to manifest a consistent emotional value (Valdez & Mehrabian, 1994). For instance, the color blue and green are liked the most compared to other hues, followed by purple and red, with yellow being the least pleasing color hue (see also Madden et al., 2000). Although the hue category seems to have significantly affected the reported hedonic value of the color stimulus, emotions are not the likely mediator of associations between color and taste. The trend of blue and green being rated as the most pleasant hues does not appear to agree with the mappings of color-taste associations (see Table 1), as otherwise, they should be regarded as the best candidates for the sweet taste to match with. The mediation of crossmodal correspondences likely involves a certain degree of competition between different factors. Judging from the evidence presented thus far, internalized regularities, especially concerning a specific object, are the most effective mediation route for visual-taste associations when a meaningful statistical correlation is available (Spence & Levitan, 2022).
Meanwhile, researchers have also investigated the hedonic tone of various gustatory properties (such as quality and intensity) independent of visual features. The relationship between gustatory experience and emotion is not defined solely by the taste quality but also by the intensity of taste perception (Herbert et al., 2014). A recent study by Wu and Jiang (2022) reported that valence and taste intensity were correlated in a two-step relationship: There appears to be a literal “sweet spot” for the concentration of sucrose solution; only when the concentration level is within the proximity of this concentration do participants like the stimulus more as the taste gets sweeter (cf. Kim et al., 2014; Yang et al., 2019). Hypothetically, should this effect translate to visual-taste crossmodal correspondences, there could potentially be a range of concentrations where the taste stimuli might match more consistently with positively-valenced design features such as round shape and the color blue. That being said, associations between taste and color, similar to those between taste and music pitch, are less likely to be affected by emotions (Crisinel & Spence, 2012).
Between the statistical and affective accounts, the evidence presented thus far would appear to suggest that certain types of crossmodal correspondences are better explained by one account rather than the others. However, not much is known about what might have driven one mediator to prevail over another. In fact, there is little knowledge concerning whether the underlying mechanism is a competition or cooperation between the potential mediators. Worse still, the route of mediation cannot be determined by the modality that happens to be assessed. The taste-color correspondences are likely mediated by statistics while the taste-shape correspondences are likely mediated by emotion. Likewise, the crossmodal correspondences involving color would appear to have exploited internalized statistics of the environment when matched with taste (Velasco, Michel et al., 2016), but are better explained by the affective account when matched with fine fragrances (Schifferstein & Tanudjaja, 2004). When comparing the two accounts, there would seem to be a tendency to base decisions on internalized statistics should they be readily available / accessible. A novel paradigm such as the “spectrum of resemblance” proposed above (see Figure 6) might provide an appropriate approach to examining the interaction of mediating factors.
Processing Fluency
The term processing fluency describes the positive effect associated with processing easy and stress-free stimuli (or stimulus combinations) (Reber, 2011). Some researchers have also expanded this idea to cover the typicality effect, citing that people also like seeing what they expect (Vogel et al., 2021). Theoretically, presenting features from different sensory modalities that happen to agree (associate) with each other (either via mediation of emotion or taste correspondences) can give rise to enhanced processing fluency (Winkielman et al., 2015) as when dining experiences are enhanced by dishes that confirm, or are congruent, with customers’ expectations (e.g., Spence et al., 2015). The rationale here is to create a visual stimulus that is fluent and familiar so that it will create a positive hedonic tone when it is processed (Reber et al., 1998). This, in turn, should lead the stimulus to be more likely associated with sweet taste (or less associated with sour taste).
In a dining environment, the appraisal of certain combinations of color and shape has shown signs that such arrangements are potentially being processed fluently. Stewart and Goss (2013) found the shape and color of the plate to have a significant interaction effect on the liking and perceived sweetness of the food on the plate. Curiously, their results showed that food on the black and square plate received a similar rating (if not higher in some cases) of hedonic value than the same food served on the white and round plate. Here, the surprise comes from the fact that when black color and square shape were assessed independently, they were less liked than white and round. Also, when presented as an abstract concept without context or accompanying features, the black color and square shape are typically considered the “bitter color” or the “bitter shape.” Stewart and Goss's findings give an example of processing fluency found in graphical features with similar emotional value. Perhaps even more interestingly, only a limited portion of this emotion was translated to the rating of sweetness. Relevant to the proposed competition between different theories accounting for visual-taste correspondences, this could be the evidence that some visual information (likely color in this case) is less prone to the mediation of emotion.
While on the topic of visual fluency, the century-old idea of the Kandinsky correspondences has been suggesting the universal associations between color and shape, based on the belief that visual features are fundamentally interconnected (see Dreksler & Spence, 2019). Supposedly, if people were asked to infer the taste of an object with a color and shape conforming to one of the Kandinsky correspondences, the perceptual fluency and the valence it induces would make the estimated taste sweeter. The problem, though, is that the color-shape correspondences examined by researchers thus far have not revealed a consistent pattern. The validity and reliability of the systematic mappings between color and shape are still debated in the literature (Chen et al., 2015; Song et al., 2022). Despite being among the most investigated visual features, there is not even a general conclusion on the associations between color and curvilinearity (Malfatti, 2014). At this point, it would seem that further empirical evidence is needed before designers can confidently exploit the fluency of shape and color to enhance consumers’ experience.
It is also worth considering how typicality could induce a positive emotion through familiarity or by meeting expectations (Vogel et al., 2021). A product with sensory features that conform to the anticipation of its assessors will generally give rise to a positively-valenced experience (Sundar & Noseworthy, 2016). Relevant to the crossmodal correspondences between color and taste, the color cues were reported to suffer from a diminished effect on taste perception when the actual gustatory experience diverges too much from the expectation (Sugimori & Kawasaki, 2022), though this theory has not been fully verified (Wang et al., 2017). It should also be noted that in this case, instead of a modified valence by the incongruent elements, it is more likely that the drastic contrast between expectation and actual perception has completely dissuaded the assessors from relying on visual cues (Carvalho & Spence, 2019).
In summary, a wealth of literature on the crossmodal correspondences has attempted to identify the underlying operations that have led to the associations between taste qualities and different visual features (Deroy & Spence, 2016). By now, the researchers have narrowed the search to a few promising theories. For the color-taste and shape-taste associations that have been assessed in this review, the evidence and former investigations suggested them to be driven by two particular accounts: Statistical and affective; the former attributes the connections to the spontaneous internalization of the statistics of the environment, while the latter stresses the mediating role of emotion. According to a series of supplementary studies, it would seem that the two explanations are also subject to being mediated by other factors, such as the reinforcement of the adaptive memory (environmental information that is relevant to survival; Nairne et al., 2007) and the processing fluency that modulates emotional appraisal (Spence et al., 2015; Sundar & Noseworthy, 2016). While the evidence is scarce, a hierarchy (or priority) system is likely responsible for determining how assessors arrive at their inference. For instance, although both color and shape possess certain valence values, people seem to have disregarded the affective quality of color when making color-taste associations. When comparing the ways in which visual features are associated with taste, there seems to be a fair possibility that the affective account functions as a backup option for establishing crossmodal correspondences when mediation via multisensory object representations is unavailable. The current stage of theoretical understanding remains insufficient to determine how different routes of mediation would operate together, but the interaction of those factors involved could be further assessed with specific paradigms.
While the research interest has primarily focused on the two discussed theories as they hold the best prospect of explaining crossmodal associations, there is no reason to exclude the mediation of other factors. Acknowledging the potential of these factors could lead to the discovery of new models that may help supplement the current ones. Relevant here, there is likely a sizable reward if future interests can be directed to consider other factors in the vast semantic space (Osgood et al., 1957/1967, pp. 34–39). Given how the current explanations do not appear to catch all the variance in the mappings (e.g., Velasco et al., 2016a), there might be a surprisingly good chance to discover factorial clusters (defined as dimensions of meaning by Osgood et al.) that are better able of describing and conceptualizing the visual stimuli (e.g., Weierich et al., 2010; Wendt, 1968). This could be exploring other dimensions of meaning apart from the valence value (largely captured by the evaluation dimension; represented by the “good–bad” scale), such as activity (“active–passive” scale) and potency (“strong–weak” scale). For example, the effect of tastant concentration on shape-taste correspondences can be confirmed by comparing the potency (taste intensity) and evaluation (emotion) factors in semantic differential analyses. Research has also revealed other dimensions that could be relevant when examining other potential mediators, such as the cluster of expectation, excitement, and typicality (relevant to the dimension of familiarity; Bentler & LaVoie, 1972) or the effect of fluency in terms of cognitive load (relevant to the dimension of complexity; Petrenko; 1993, as cited in Trofimova, 1999). It is also possible, albeit a remote possibility, that other of the chemical senses (e.g., olfaction) could have been mediating the taste correspondences via crossmodal similarity (e.g., Halabi & Saleh, 2021).
Conclusions
After decades of research effort over the past decades, the literature documenting the crossmodal correspondences between visual features and taste has accumulated a comprehensive understanding of these associations. Researchers have long arrived at the consensus that color hue and a handful of geometric features are consistently matched with the basic taste qualities. In recent decades, it has also been shown that the pattern of their associations can be used to create specific visual designs that manipulate the appraisal and perception of taste under certain circumstances. With these fundamental understandings established, the subsequent studies grew diverse and touched on various research questions ranging from cultural validity to real-life applications. Overall, it is reassuring to observe a global consistency of the matching patterns across different cultures, although some weaker connections have also been identified. Notably, the association between shape curvilinearity and taste qualities has not always appeared to be as robust as that recorded between color hue and taste.
When comparing the popular theoretical models accounting for the crossmodal correspondences, it is intriguing to note how the mediating process, or the causes leading people to draw taste matches, can be remarkably different for color and geometric features. It would seem that an intuitive mediating route exists for color-taste associations, which can be attributed to the internalization of the crossmodal statistics of the environment. However, when a mediating object is unavailable, such as when matching geometric features with taste, people appear to match unrelated stimuli on the basis of the emotion that is associated with the component perceptual stimuli. Unfortunately, there has been little research concerning the interaction of these explanations, which would require novel paradigms to examine the competition of different mediating factors. It is believed that further studies should consider mapping the relevant perceptual concepts to a semantic space, which will allow the crossmodal correspondences to be quantified and compared on meaningful scales of emotion, potency, and activity. Doing so will also provide a fair chance to reveal other factors responsible for mediating the associations.
Footnotes
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
