“Make an Effort and Show Me the Love!” Understanding Consumer Aversion to AI Fashion Design Through the Lens of Schema Theory

Abstract

Advancements in generative AI present significant opportunities to enhance both efficiency and creativity in fashion design. However, prior research has identified negative consumer responses to AI-designed products. Drawing on schema theory, this study investigates consumer aversion to AI fashion design, its underlying mechanisms, and the boundary conditions. Specifically, the misalignment between AI design and consumers’ fashion designer schema was proposed as the key driver of aversion, mediated by perceptions of diminished effort and love in the design process. Furthermore, design complexity and brand type (non-luxury vs. luxury) were proposed to moderate this aversion. A 2 × 2 × 2 between-subject experiment with 400 respondents was conducted. The findings reveal that consumer aversion to AI fashion design is serially mediated by lower perceived effort and love. Increasing design complexity mitigates this aversion, but only for non-luxury brands. This study provides practical insights for fashion brands on effectively integrating AI into product development and marketing strategies.

Keywords

generative AI AI fashion design AI aversion perceived effort perceived love design complexity luxury schema theory

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References

Bartlett

F. C.

(1995). Remembering: A study in experimental and social psychology. Cambridge University Press.

Carrell

P. L.

Eisterhold

J. C.

(1983). Schema theory and ESL Reading pedagogy. TESOL Quarterly, 17(4), 553–573. https://doi.org/10.2307/3586613

Castelo

Bos

M. W.

Lehmann

D. R.

(2019). Task-dependent algorithm aversion. Journal of Marketing Research, 56(5), 809–825. https://doi.org/10.1177/0022243719851788

Chae

Hoegg

(2013). The future looks “right”: Effects of the horizontal location of advertising images on product attitude. Journal of Consumer Research, 40(2), 223–238. https://doi.org/10.1086/669476

Cox

A. D.

(2002). Beyond first impressions: The effects of repeated exposure on consumer liking of visually complex and simple product designs. Journal of the Academy of Marketing Science, 30(2), 119–130. https://doi.org/10.1177/03079459994371

De Kerviler

Heuvinck

Gentina

(2022). “Make an effort and show me the love!” effects of indexical and iconic authenticity on perceived brand ethicality. Journal of Business Ethics, 179, 89–110. https://doi.org/10.1007/s10551-021-04779-3

Dimock

(2019). Defining generations: Where Millennials end and Generation Z begins. Retrieved January 20, 2024, from https://www.pewresearch.org/short-reads/2019/01/17/where-millennials-end-and-generation-z-begins/

Fiske

S. T.

(2014). Schema-triggered affect: Applications to social perception. In affect and cognition (pp. 55–78). Psychology Press.

Fuchs

Prandelli

Schreier

Dahl

D. W.

(2013). All that is users might not be gold: How labeling products as user designed backfires in the context of luxury fashion brands. Journal of Marketing, 77(5), 75–91. https://doi.org/10.1509/jm.11.0330

10.

Fuchs

Schreier

Van Osselaer

S. M.

(2015). The handmade effect: What's love got to do with it? Journal of Marketing, 79(2), 98–110. https://doi.org/10.1509/jm.14.0018

11.

Gielnik

M. M.

Spitzmuller

Schmitt

Klemann

D. K.

Frese

(2015). “I put in effort, therefore I am passionate”: Investigating the path from effort to passion in entrepreneurship. Academy of Management Journal, 58(4), 1012–1031. https://doi.org/10.5465/amj.2011.0727

12.

Granulo

Fuchs

Puntoni

(2019). Psychological reactions to human versus robotic job replacement. Nature Human Behaviour, 3(10), 1062–1069. https://doi.org/10.1038/s41562-019-0670-y

13.

Granulo

Fuchs

Puntoni

(2021). Preference for human (vs. Robotic) labor is stronger in symbolic consumption contexts. Journal of Consumer Psychology, 31(1), 72–80. https://doi.org/10.1002/jcpy.1181

14.

Grassini

(2023). Development and validation of the AI attitude scale (AIAS-4): A brief measure of general attitude toward artificial intelligence. Frontiers in Psychology, 14, 1–12. https://doi.org/10.3389/fpsyg.2023.1191628

15.

Hall

R. H.

Hanna

(2004). The impact of web page text-background color combinations on readability, retention, aesthetics, and behavioural intention. Behaviour & Information Technology, 23(3), 183–195. https://doi.org/10.1080/01449290410001669932

16.

Han

Y. J.

Nunes

J. C.

Drèze

(2010). Signaling status with luxury goods: The role of brand prominence. Journal of Marketing, 74(4), 15–30. https://doi.org/10.1509/jmkg.74.4.015

17.

Hong

J. W.

Fischer

Zeng

(2022). Human, I wrote a song for you: An experiment testing the influence of machines’ attributes on the AI-composed music evaluation. Computers in Human Behavior, 131, 1–12. https://doi.org/10.1016/j.chb.2022.107239

18.

Howard

D. J.

Gengler

(2001). Emotional contagion effects on product attitudes. Journal of Consumer Research, 28(2), 189–201. https://doi.org/10.1086/322897

19.

Kong

H. M.

Witmaier

(2021). Sustainability and social media communication: How consumers respond to marketing efforts of luxury and non-luxury fashion brands. Journal of Business Research, 131, 640–651. https://doi.org/10.1016/j.jbusres.2020.08.021

20.

Kruger

Wirtz

Van Boven

Altermatt

T. W.

(2004). The effort heuristic. Journal of Experimental Social Psychology, 40(1), 91–98. https://doi.org/10.1016/S0022-1031(03)00065-9

21.

Lee

Kim

H. Y.

(2024). Human vs. AI: The battle for authenticity in fashion design and consumer response. Journal of Retailing and Consumer Services, 77, 1–11. https://doi.org/10.1016/j.jretconser.2023.103690

22.

Lee

Kim

H. Y.

(2025). Algorithm fashion designer? Ascribed mind and perceived design expertise of AI versus human. Psychology & Marketing, 42(1), 255–273. https://doi.org/10.1002/mar.22124

23.

Liu

S. Q.

Choi

Mattila

A. S.

(2019). Love is in the menu: Leveraging healthy restaurant brands with handwritten typeface. Journal of Business Research, 98, 289–298. https://doi.org/10.1016/j.jbusres.2019.02.022

24.

Liu

Z. J.

Yildirim

Zhang

Z. J.

(2024). Less is more: A theory of minimalist luxury. Journal of Economics & Management Strategy, 33(1), 78–110.

25.

Lou

Kang

Tse

C. H.

(2022). Bots vs. Humans: How schema congruity, contingency-based interactivity, and sympathy influence consumer perceptions and patronage intentions. International Journal of Advertising, 41(4), 655–684. https://doi.org/10.1080/02650487.2021.1951510

26.

McDowell

(2024). Does AI belong in design? New York Fashion Week weighs in. Retrieved April 20, 2024, from https://www.voguebusiness.com/story/technology/does-ai-belong-in-design-new-york-fashion-week-weighs-in

27.

McKinsey. (2023). Generative AI: Unlocking the future of fashion. Retrieved October 19, 2023, from https://www.mckinsey.com/industries/retail/our-insights/generative-ai-unlocking-the-future-of-fashion

28.

Min

Liu

P. J.

Anderson

C. L.

(2024). The visual complexity=higher production cost lay belief. Journal of Consumer Research, 51(6), 1167–1185. https://doi.org/10.1093/jcr/ucae044

29.

Mohr

L. A.

Bitner

M. J.

(1995). The role of employee effort in satisfaction with service transactions. Journal of Business Research, 32(3), 239–252. https://doi.org/10.1016/0148-2963(94)00049-K

30.

Pieconka

(2023). Creative Machines-Consumers’ Perception of AI Designed Products. Doctoral dissertation, Leopold-Franzens-Universität Innsbruck.

31.

Rauschendorfer

Prügl

Lude

(2022). Love is in the air. Consumers’ perception of products from firms signaling their family nature. Psychology & Marketing, 39(1), 239–249.

32.

Ren

Xia

(2018). Delivering warmth by hand: Customer responses to different formats of written communication. Journal of Services Marketing, 32(2), 223–234. https://doi.org/10.1108/JSM-04-2017-0133

33.

RETAILBOSS. (2023). Millennials and Gen Z to account for 70% of global luxury sales by 2025. Retrieved January 20, 2024, from https://retailboss.co/millennials-and-gen-z-luxury-sales-2025/

34.

Simonin

B. L.

Ruth

J. A.

(1998). Is a company known by the company it keeps? Assessing the spillover effects of brand alliances on consumer brand attitudes. Journal of Marketing Research, 35(1), 30–42. https://doi.org/10.1177/002224379803500105

35.

Sohn

Sung

C. E.

Koo

Kwon

(2020). Artificial intelligence in the fashion industry: Consumer responses to generative adversarial network (GAN) technology. International Journal of Retail & Distribution Management, 49(1), 61–80. https://doi.org/10.1108/IJRDM-03-2020-0091

36.

Statista. (2024). Revenue of the apparel market worldwide from 2018 to 2028. https://www.statista.com/forecasts/821415/value-of-the-global-apparel-market

37.

Stuart. (2019). How do men & women shop for clothes differently? https://www.freedoniagroup.com/blog/how-do-men-women-shop-for-clothes-differently

38.

Sun

Chen

Sundar

S. S.

(2024). Chatbot ads with a human touch: A test of anthropomorphism, interactivity, and narrativity. Journal of Business Research, 172, 114403. https://doi.org/10.1016/j.jbusres.2023.114403

39.

Ton

L. A. N.

Smith

R. K.

Sevilla

(2024). Symbolically simple: How simple packaging design influences willingness to pay for consumable products. Journal of Marketing, 88(2), 121–140. https://doi.org/10.1177/00222429231192049

40.

Tong

Chen

Zhou

Yang

(2022). How background visual complexity influences purchase intention in live streaming: The mediating role of emotion and the moderating role of gender. Journal of Retailing and Consumer Services, 67, 103031. https://doi.org/10.1016/j.jretconser.2022.103031

41.

Vickers

Renand

(2003). The marketing of luxury goods: An exploratory study – three conceptual dimensions. The Marketing Review, 3(4), 459–478. http://doi.org/10.1362/146934703771910071

42.

Wiedmann

K. P.

Hennigs

Siebels

(2009). Value-based segmentation of luxury consumption behavior. Psychology & Marketing, 26(7), 625–651. https://doi.org/10.1002/mar.20292

43.

Mehta

(2022). Technology devalues luxury? Exploring consumer responses to AI-designed luxury products. Journal of the Academy of Marketing Science, 50(6), 1135–1152. https://doi.org/10.1007/s11747-022-00854-x