Analysis of eye-tracking data in marketing research has traditionally relied upon regions of interest (ROIs) methodology or the use of heatmaps. Clear disadvantages exist for both methods. Addressing this gap, the current research applies spatiotemporal scan statistics to the analysis and visualisation of eye tracking data. Results of a sample experiment using anthropomorphic car faces demonstrate several advantages provided by the new method. In contrast to traditional approaches, scan statistics provide a means to scan eye tracking data automatically in space and time with differing gaze clusters, with results able to be comprehensively visualised and statistically assessed.
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References
1.
AggarwalP., & McGillA.L. (2007) Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products.Journal of Consumer Research, 34, 4, pp. 468–479.
2.
AribargA., PietersR., & WedelM. (2010) Raising the BAR: bias adjustment of recognition tests in advertising.Journal of Marketing Research, 47, 3, pp. 387–400.
3.
BaraggioliF., & BraselS.A. (2008) Visual velocity: content font effects and incidental online ad exposure.Advances in Consumer Research, 35, pp. 600–606.
4.
BixL., BelloN.M., AurasR., RangerJ., & LapinskiM.K. (2009) Examining the conspicuousness and prominence of two required warnings on OTC pain relievers.Proceedings of the National Academy of Sciences of the United States of America, 106, pp. 6550–6555.
5.
BojkoA. (2009) Informative or misleading? Heatmaps deconstructed. Proceedings of the 13th International Conference on Human-Computer Interaction, pp. 30–39.
6.
BojkoA., GaddyC., LewG., & QuinnA. (2005) Evaluation of drug label designs using eye tracking.Proceedings of the Human Factors and Ergonomics Society (HFES) 49th Annual Meeting, pp. 1033–1037.
7.
BraselS.A., & GipsJ. (2008) Breaking through fast-forwarding: brand information and visual attention.Journal of Marketing, 72, 6, pp. 31–48.
8.
BuscherG., CutrellE., & MorrisM.R. (2009) What do you see when you're surfing? Using eye tracking to predict salient regions of web pages. Proceedings of the 27th International Conference on Human Factors in Computing Systems, pp. 21–30.
9.
ChandonP., HutchinsonJ.W., BradlowE.T., & YoungS.H. (2009) Does in-store marketing work? Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase.Journal of Marketing, 73, 6, pp. 1–17.
10.
CutrellE., & GuanZ.W. (2007) What are you looking for? An eye-tracking study of information usage in web search.Proceedings of the Conference on Human Factors in Computing Systems, 1 & 2, pp. 407–416.
11.
DuchowskiA.T. (2002) A breadth-first survey of eye tracking applications.Behavior Research Methods, Instruments & Computers, 34, 4, pp. 455–470.
12.
DuchowskiA.T. (2007) Eye Tracking Methodology. Theory and Practice (2nd edn). London: Springer.
13.
FeiereisenS., WongV., & BroderickA.J. (2008) Analogies and mental simulations in learning for really new products: the role of visual attention.Journal of Product Innovation Management, 25, 6, pp. 593–607.
14.
GarciaC., PonsodaV., & EstebaranzH. (2000) Scanning ads: effects of involvement and of position of the illustration in printed advertisements.Advances in Consumer Research, 27, pp. 104–109.
15.
HamaekersW., & LaanR. (2011) Getting into the real world of the shopper. Using eye tracking in a multi mode research approach. Paper presented at the ESOMAR World Research Conference, Insights.
16.
HellerR., StanleyD., YekutieliD., RubinN., & BenjaminiY. (2006) Cluster-based analysis of fMRI data.NeuroImage, 33, 2, pp. 599–608.
17.
HervetG., GuérardK., TremblayS., & ChtourouM.S. (2010) Is banner blindness genuine? Eye tracking internet text advertising.Applied Cognitive Psychology, doi: 10.1002/acp.1742.
18.
IrwinD.E. (1992) Visual memory within and across fixations, in RaynerK. (ed.) Eye Movements and Visual Cognition. Scene Perception and Reading.New York: Springer, pp. 146–165.
19.
KuismaJ., SimolaJ., UusitaloL., & ÖörniA. (2010) The effects of animation and format on the perception and memory of online advertising.Journal of Interactive Marketing, 24, 4, pp. 269–282.
20.
KulldorffM. (1997) A spatial scan statistic.Communications in Statistics. Theory and Methods, 26, 6, pp. 1481–1496.
21.
KulldorffM., AthasW.F., FeuerE.J., MillerB.A., & KeyC.R. (1998) Evaluating cluster alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico.American Journal of Public Health, 88, 9, pp. 1377–1380.
22.
LammC., MeltzoffA.N., & DecetyJ. (2010) How do we empathize with someone who is not like us? A functional magnetic resonance imaging study.Journal of Cognitive Neuroscience, 22, 2, pp. 362–376.
23.
LandwehrJ.R., McGillA.L., & HerrmannA. (forthcoming) It's got the look: the effect of friendly and aggressive ‘facial’ expressions on product liking and sales.Journal of Marketing.
24.
LundqvistD., EstevesF., & ÖhmanA. (2004) The face of wrath: the role of features and configurations in conveying social threat.Cognition and Emotion, 18, 2, pp. 161–182.
25.
MeißnerM., & DeckerR. (2010) Eye-tracking information processing in choice-based conjoint analysis.International Journal of Market Research, 52, 5, pp. 591–610.
26.
ÖhmanA., LundqvistD., & EstevesF. (2001) The face in the crowd revisited: a threat advantage with schematic stimuli.Journal of Personality and Social Psychology, 80, 3, pp. 381–396.
27.
PietersR., & WedelM. (2004) Attention capture and transfer in advertising: brand, pictorial, and text-size effects.Journal of Marketing, 68, 2, pp. 36–50.
28.
PietersR., & WedelM. (2007) Goal control of attention to advertising: the Yarbus implication.Journal of Consumer Research, 34, 2, pp. 224–233.
29.
PietersR., RosbergenE., & HartogM. (1996) Visual attention to advertising: the impact of motivation and repetition.Advances in Consumer Research, 23, pp. 242–248.
30.
PietersR., WedelM., & BatraR. (2010) The stopping power of advertising: measures and effects of visual complexity.Journal of Marketing, 74, 5, pp. 48–60.
31.
PomplunM., RitterH., & VelichkovskyB. (1996) Disambiguating complex visual information: towards communication of personal views of a scene.Perception, 25, 8, pp. 931–948.
32.
RinckM., & BeckerE.S. (2006) Spider fearful individuals attend to threat, then quickly avoid it: evidence from eye movements.Journal of Abnormal Psychology, 115, 2, pp. 231–238.
33.
ShaoW., LyeA., & Rundle-ThieleS. (2008) Decisions, decisions, decisions. Multiple pathways to choice.International Journal of Market Research, 50, 6, pp. 797–816.
34.
TeixeiraT.S., WedelM., & PietersR. (2010) Moment-to-moment optimal branding in TV commercials: preventing avoidance by pulsing.Marketing Science, 29, 5, pp. 783–804.
35.
Thomas-SmithC., & BarnettG. (2010) Seeing is believing. Viewing engagement in place-based media. Paper presented at the ESOMAR World Research Conference, WM3.
36.
Van der LansR., PietersR., & WedelM. (2008) Competitive brand salience.Marketing Science, 27, 5, pp. 922–931.
37.
VulE., HarrisC., WinkielmanP., & PashlerH. (2009) Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition.Perspectives on Psychological Science, 4, 3, pp. 274–290.
38.
WedelM., & PietersR. (2000) Eye fixations on advertisements and memory for brands: a model and findings.Marketing Science, 19, 4, pp. 297–312.
39.
WindhagerS., HutzierF., CarbonC.C., OberzaucherE., SchaeferK., ThorstensenT. (2010) Laying eyes on headlights: eye movements suggest facial features in cars.Collegium Antropologicum, 34, 3, pp. 1075–1080.
40.
WoodingD.S. (2002) Eye movements of large populations: II. Deriving regions of interest, coverage, and similarity using fixation maps.Behavior Research Methods, Instruments & Computers, 34, 4, pp. 518–528.
41.
YesiladaY., JayC., StevensR., & HarperS. (2008) Validating the use and role of visual elements of web pages in navigation with an eye-tracking study. Proceedings of the 17th International Conference on Worldwide Web, pp. 11–20.
42.
ZhangJ., WedelM., & PietersR. (2009) Sales effects of attention to feature advertisements: a Bayesian mediation analysis.Journal of Marketing Research, 46, 5, pp. 669–681.
