Abstract
This paper examines consumers’ attention traces (e.g., sequences of eye fixations and saccades) during choice. Due to reduced equipment cost and increased ease of analysis, attention traces can reflect a more fine-grained representation of decision-making activities (e.g., formation of a consideration set, alternative evaluation, and decision strategies). Besides enabling a better understanding of actual consumer choice, attention traces support more complex models of choice, and point to the prospects of specific interventions at various stages of the choice process. We identify and discuss promising areas for future research.
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Ashby, N. J., Johnson, J. G., Krajbich, I., & Wedel, M. (2016). Applications and innovations of eye-movement research in judgment and decision making. Journal of Behavioral Decision Making, 29(2-3), 96–102.
Atalay, A. S., Bodur, H. O., & Rasolofoarison, D. (2012). Shining in the center: Central gaze cascade effect on product choice. Journal of Consumer Research, 39(4), 848–866.
Baymard Institute. 41 cart abandonment rate statistics. https://baymard.com/lists/cart-abandonment-rate. Accessed March 2020.
Bhatia, S. (2013). Associations and the accumulation of preference. Psychological Review, 120(30), 522.
Bhatia, S. (2017). Attention and attribute overlap in preferential choice. The Quarterly Journal of Experimental Psychology, 70(7), 1174–1196.
Carrasco, M. (2011). Visual attention: The past 25 years. Vision Research, 51(13), 1484–1525.
Chandon, P., Hutchinson, J. W., Bradlow, E. T., & Young, S. 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), 1–17.
Dhar, R., & Nowlis, S. M. (2004). To buy or not to buy: Response mode effects on consumer choice. Journal of Marketing Research, 41(November), 423–432.
Diederich, A. (1997). Dynamic stochastic models for decision making under time constraints. Journal of Mathematical Psychology, 41(3), 260–274.
Domingos, P. (2015). The master algorithm: How the quest for the ultimate learning machine will remake our world. Basic Books.
Ericsson, K. A., & Moxley, J. H. (2019). Thinking aloud during superior performance on tasks involving decision making. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G. Johnson (Eds.), A handbook of process tracing methods (2nd ed.). London: Routlege.
Gold, J. I., & Shadlen, M. N. (2007). The neural basis of decision making. Annual Review of Neuroscience, 30, 535–574.
Gourville, J. T., & Soman, D. (2005). Overchoice and assortment type: When and why variety backfires. Marketing Science, 24(3), 382–395.
Hui, S. K., Huang, Y., Suher, J., & Inman, J. J. (2013). Deconstructing the “first moment of truth”: Understanding unplanned consideration and purchase conversion using in-store video tracking. Journal of Marketing Research, 50(4), 445–462.
Janiszewski, C. (1998). The influence of display characteristics on visual exploratory search behavior. Journal of Consumer Research, 25(3), 290–301.
Krajbich, I., Armel, C., & Rangel, A. (2010). Visual fixations and the computation and comparison of value in simple choice. Nature Neuroscience, 13(10), 1292.
Meissner, M., Pfeiffer, J., Pfeiffer, T., & Oppewal, H. (2019). Combining virtual reality and mobile eye tracking to provide a naturalistic experimental environment for shopper research. Journal of Business Research, 100, 445–458.
Milosavljevic, M., & Cerf, M. (2008). First attention then intention: Insights from computational neuroscience of vision. International Journal of advertising, 27(3), 381–398.
Milosavljevic, M., Navalpakkam, V., Koch, C., & Rangel, A. (2012). Relative visual saliency differences induce sizable bias in consumer choice. Journal of Consumer Psychology, 22(1), 67–74.
Mormann, M., Towal, B., & Koch, C. (2015). What the eye does not admire the brain does not desire: How visual properties of product packaging affect consumer attention and choice. Working paper, Available at SSRN: https://ssrn.com/abstract=2709187.
Nordfält, J. (2011). Improving the attention-capturing ability of special displays with the combination effect and the design effect. Journal of Retailing and Consumer Services, 18(3), 169–173.
Novemsky, N., Dhar, R., Schwarz, N., & Simonson, I. (2007). Preference fluency in choice. Journal of Marketing Research, 44(3), 347–356.
Orquin, J. L., & Mueller Loose, S. (2013). Attention and choice: A review on eye movements in decision making. Acta Psychologica, 144(1), 190–206.
Pieters, R., & Warlop, L. (1999). Visual attention during brand choice: The impact of time pressure and task motivation. International Journal of Research in Marketing, 16(2), 1–16.
Ratcliff, R., & McKoon, G. (2008). The drift diffusion model: Theory and data for two-choice decision tasks. Neural Computation, 20, 873–922.
Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016). Diffusion decision model: Current issues and history. Trends in cognitive sciences, 20(4), 260–281.
Roe, R. M., Busemeyer, J. R., & Townsend, J. T. (2001). Multialternative decision field theory: A dynamic connectionst model of decision making. Psychological review, 108(2), 370–392.
Russo, J. E. (2019). Eye fixations as a process trace. In M. Schulte-Mecklenbeck, A. Kuhberger, & J. G. Johnson (Eds.), A handbook of process methods for decision research (2nd ed., pp. 4–26). New York: Psychology Press.
Russo, J. E., & Dosher, B. A. (1983). Strategies for multiattribute binary choice. Journal of Experimental Psychology: Learning, Memory and Cognition, 9, 676–696.
Russo, J. E., & Leclerc, F. (1994). An eye-fixation analysis of choice processes for consumer nondurables. Journal of Consumer Research, 21(2), 274–290.
Russo, J. E., & Rosen, L. D. (1975). An eye fixation analysis of multialternative choice. Memory & Cognition, 3(3), 267–276.
Streicher, M., Büttner, O., & Estes, Z. (2017). Eye buy: Attentional scope affects product choice via visual exploration. In Gneezy, A., Griskevicius, V., & Williams, P. (Eds.), NA - Advances in Consumer Research (Vol. 45, pp. 286–290). Duluth: Association for Consumer Research.
Towal, R. B., Mormann, M., & Koch, C. (2013). Simultaneous modeling of visual saliency and value computation improves predictions of economic choice. Proceedings of the National Academy of Sciences, 110(40), E3858–E3867.
Trueblood, J. S., Brown, S. D., & Heathcote, A. (2014). The multiattribute linear ballistic accumulator model of context effects in multialternative choice. Psychological Review, 121(2), 179–205.
Turner, B. M., Schley, D. R., Muller, C., & Tsetsos, K. (2018). Competing theories of multialternative, multiattribute preferential choice. Psychological review, 125(3), 329.
Wästlund, E., Shams, P., & Otterbring, T. (2018). Unsold is unseen… or is it? Examining the role of peripheral vision in the consumer choice process using eye-tracking methodology. Appetite, 120(January), 49–56.
Wedel, M., & R. Pieters (2017). A review of eye-tracking research in marketing. Review of Marketing Research, Vol. 4 [N. Malhotra].
Willemsen, M. C., & Johnson, E. J. (2019). Visiting the decision factory: Observing cognition with MouselabWEB and other information acquisition methods. A Handbook of Process Tracing Methods for Decision Research, 21–42.
Willemsen, M. C., Böckenholt, U., & Johnson, E. J. (2011). Choice by value encoding and value construction: Processes of loss aversion. Journal of Experimental Psychology: General, 140(3), 303.
Xia, L. (2010). An examination of consumer browsing behaviors. Qualitative Market Research, 13(2), 154–173.
Zuo, Y. (2016). Prediction of consumer purchase behavior using Bayesian network: An operational improvement and new results based on RFID data. International Journal of Knowledge Engineering and Soft Data Paradigms, 2(5), 85–105.
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Mormann, M., Griffiths, T., Janiszewski, C. et al. Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making. Mark Lett 31, 381–392 (2020). https://doi.org/10.1007/s11002-020-09520-0
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DOI: https://doi.org/10.1007/s11002-020-09520-0