Eye-Tracking Information Processing in Choice-Based Conjoint Analysis

Adamowicz W. , Bunch D. , Cameron T. , Dellaert B. , Hanneman M. , Keane M. , Louviere J. , Meyer R. , Steenburgh T. , & Swait J. (2008) Behavioral frontiers in choice modeling. Marketing Letters, 19, 3, pp. 215–228.

Ball C. (1997) A comparison of single-step and multiple-step transition analyses of multiattribute decision strategies. Organizational Behavior and Human Decision Processes, 69, 3, pp. 195–204.

Bettman J.R. , Luce M.F. , & Payne J.W. (1998) Constructive consumer choice processes. Journal of Consumer Research: An Interdisciplinary Quarterly, 25, 3, pp. 187–217.

Böckenholt U. , & Hynan L.S. (1994) Caveats on a process-tracing measure and a remedy. Journal of Behavioral Decision Making, 7, 2, pp. 103–117.

Bradlow E.T. (2005) Current issues and a wish list for conjoint analysis: research articles. Applied Stochastic Models in Business and Industry, 21, 4-5, pp. 319–323.

Chandon P. , Hutchinson J.W. , Bradlow E.T. , & Yount S.H. (2007) Measuring the value of point-of-purchase marketing with commercial eye-tracking data. In: Wedel M. , & Pieters R. (eds) Visual Marketing: From Attention to Action. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 225–258.

Denstadli J.M. , & Lines R. (2007) Conjoint respondents as adaptive decision makers. International Journal of Market Research, 49, 1, pp. 117–132.

DeSarbo W.S. , Lehmann D.R. , & Hollman F.G. (2004) Modeling dynamic effects in repeated-measures experiments involving preference/choice: an illustration involving stated preference analysis. Applied Psychological Measurement, 28, 3, pp. 186–209.

DeShazo J.R. , & Fermo G. (2002) Designing choice sets for stated preference methods: the effects of complexity on choice consistency. Journal of Environmental Economics and Management, 44, 1, pp. 123–143.

Dieckmann A. , Dippold K. , & Dietrich H. (2009) Compensatory versus noncompensatory models for predicting consumer preferences. Judgment and Decision Making, 4, 3, pp. 200–213.

Ford J.K. , Schmitt N. , Schechtman S.L. , Hults B.M. , & Doherty M.L. (1989) Process tracing methods: Contributions, problems, and neglected research questions. Organizational Behavior and Human Decision Processes, 43, 1, pp. 75–117.

Gigerenzer G. , & Selten R. (eds) (2001) Bounded Rationality: The Adaptive Toolbox. Cambridge, MA: MIT Press.

Gilbride T.J. , & Allenby G.M. (2004) A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Science, 23, 3, pp. 391–406.

Glöckner A. , & Betsch T. (2008) Multiple-reason decision making based on automatic processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 5, pp. 1055–1075.

Green P.E. , & Srinivasan V. (1990) Conjoint analysis in marketing: new developments with implications for research and practice. Journal of Marketing, 54, 4, pp. 3–19.

Haaijer R. , & Wedel M. (2007) Conjoint choice experiments: general characteristics and alternative model specifications. In: Gustafsson A. , Herrmann A. , & Huber F. (eds) Conjoint Measurement: Methods and Applications. Berlin: Springer, pp. 319–360.

Harte J.M. , & Koele P. (1995) A comparison of different methods for the elicitation of attribute weights: structural modeling, process tracing, and self-reports. Organizational Behavior and Human Decision Processes, 64, 1, pp. 49–64.

Harte J.M. , Koele P. , & van Engelenburg G. (1996) Estimation of attribute weights in a multiattribute choice situation. Acta Psychologica, 93, 1-3, pp. 37–55.

Hauser J.R. , & Rao V.R. (2004) Conjoint analysis, related modelling, and applications. In: Wind Y. J. , & Green P.E. (eds) Market Research and Modeling: Progress and Prospects. Norwell, MA: Kluwer Academic Publishers.

Jasper J.D. , & Shapiro J. (2002) MouseTrace: a better mousetrap for catching decision processes. Behavior Research Methods, Instruments & Computers, 34, pp. 364–374.

Johnson R.M. , & Orme B.K. (1996) How many questions should you ask in choice-based conjoint studies? Research paper series 153. Washington, DC: Sawtooth Software.

Lines R. , & Denstadli J.M. (2004) Information overload on conjoint experiments. International Journal of Market Research, 46, pp. 297–310.

Lohse G.L. , & Johnson E.J. (1996) A comparison of two process tracing methods on choice tasks. Organizational Behavior and Human Decision Processes, 68, 1, pp. 28–43.

Myers J.H. , & Alpert M.I. (1968) Determinant buying attitudes: meaning and measurement. Journal of Marketing, 32, 4, pp. 13–20.

Netzer O. , Toubia O. , Bradlow E. , Dahan E. , Evgeniou T. , Feinberg F. , Feit E. , Hui S. , Johnson J. , Liechty J. , Orlin J. , & Rao V. (2008) Beyond conjoint analysis: advances in preference measurement. Marketing Letters, 19, 3, pp. 337–354.

Newell B. , & Bröder A. (2008) Cognitive processes, models and metaphors in decision research. Judgment and Decision Making, 3, pp. 195–204.

Norman E. , & Schulte-Mecklenbeck M. (2009) Take a quick click at that! Mouselab and eye-tracking as tools to measure intuition. In: Glöckner A. , & Wittemann C.L.M. (eds) Tracing Intuition: Recent Methods in Measuring Intuitive and Deliberate Processes in Decision Making. London: Psychology Press/Routledge.

Olshavsky R. , & Acito F. (1980) An information processing probe into conjoint analysis. Decision Sciences, 11, 3, pp. 451–470.

Payne J.W. (1976) Task complexity and contingent processing in decision making: an information search and protocol analysis. Organizational Behavior and Human Performance, 16, 2, pp. 366–387.

Payne J.W. , & Bettman J.R. (1994) The costs and benefits of alternative measures of search behavior: comments on Böckenholt and Hynan. Journal of Behavioral Decision Making, 7, 2, pp. 119–122.

Payne J.W. , Bettman J.R. , & Johnson E.J. (1988) Adaptive strategy selection in decision making. Journal of Experimental Psychology-Learning Memory and Cognition, 14, 3, pp. 534–552.

Payne J.W. , Bettman J.R. , & Johnson E.J. (1993) The Adaptive Decision Maker. Cambridge: Cambridge University Press.

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, 1, pp. 1–16.

Quelch J. (1979) Measurement of the relative importance of product attribute information: a review of the information display approach. Journal of Consumer Policy, 3, 3, pp. 232–245.

Reisen N. , Hoffrage U. , & Mast F.W. (2008) Identifying decision strategies in a consumer choice situation. Judgment and Decision Making, 3, 8, pp. 641–658.

Russo J.E. , & Leclerc F. (1994) An eye-fixation analysis of choice processes for consumer nondurables. Journal of Consumer Research, 21, 2, pp. 274–290.

Russo J.E. , & Rosen L. (1975) An eye fixation analysis of multi-alternative choice. Memory and Cognition, 3, pp. 267–276.

Sawtooth Software (2005a) The CBC/HB system for hierarchical Bayes estimation. Technical Paper Series. Sequim, WA: Sawtooth Software Inc.

Sawtooth Software (2005b) Report on conjoint analysis usage among Sawtooth Software customers. Technical Paper Series. Sequim, WA: Sawtooth Software Inc.

Sawtooth Software (2008) CBC v6.0 technical paper. Technical Paper Series. Sequim, WA: Sawtooth Software Inc.

Simonson I. (1989) Choice based on reasons: the case of attraction and compromise effects. Journal of Consumer Research: An Interdisciplinary Quarterly, 16, 2, pp. 158–174.

Simonson I. (2008) Will I like a ‘medium’ pillow? Another look at constructed and inherent preferences. Journal of Consumer Psychology, 18, 3, pp. 155–169.

Swait J. , & Adamowicz W. (2001) The influence of task complexity on consumer choice: a latent class model of decision strategy switching. Journal of Consumer Research, 28, 1, pp. 135–148.

Wedel M. , & Pieters R. (2007) A review of eye-tracking research in marketing. In: Malhotra N.K. (ed.) Review of Marketing Research. New York: M.E. Sharpe, pp. 123–147.

Wedell D.H. , & Senter S.M. (1997) Looking and weighting in judgment and choice. Organizational Behavior and Human Decision Processes, 70, 1, pp. 41–64.

Yee M. , Dahan E. , Hauser J.R. , & Orlin J. (2007) Greedoid-based noncompensatory inference. Marketing Science, 26, 4, pp. 532–549.