Response dynamics: A new window on the decision process

Judgment and Decision Making

Volumn 6, Issue 8, 2011, Pages 750-758

  Koop, Gregory J ^a   Johnson, Joseph G ^b  

^a MIAMI UNIVERSITY   (United States)

^b NONE

Author keywords

Decision making; Methodology; Metrics; Process models; Response dynamics

Indexed keywords

EID: 84855231105     PISSN: None     EISSN: 19302975     Source Type: Journal    
DOI: 10.1017/s1930297500004186     Document Type: Article

References (41)

1. Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7-15.
2. Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293-1295.
3. Bergert, F. B., & Nosofsky, R. M. (2007). A responsetime approach to comparing generalized rational and take-the-best models of decision making. Journal of Experimental Psychology, 33, 107-129.
4. Busemeyer, J. R., Jessup, R. K., Johnson, J. G., & Townsend, J. T. (2006). Building bridges between neural models and complex decision making behaviour. Neural Networks, 19, 1047-1058.
5. Busemeyer, J. R., & Johnson, J. G. (2008). Microprocess models of decision making. In R. Sun (Ed.), Cambridge Handbook of Computational Psychology, 302-321. Cambridge University Press.
6. Busemeyer, J. R., & Townsend, J. T. (1993). Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. Psychological Review, 100, 432-459.
7. Chiu, Y., Lin, C. H., Huang, J. T., Lin, S., Lee, P. L., Hsieh, J. C. (2008). Immediate gain is long-term loss: Are there foresighted decision makers in the Iowa Gambling Task? Behavioral and Brain Functions, 4(13).
8. Busemeyer, J. R. & Johnson, J. G. (2004). Computational models of decision making. In D. Koehler & N. Harvey (Eds.), Blackwell Handbook of Judgment and Decision Making. Oxford, UK: Blackwell Publishing Co. 133-154.
9. Dale, R., Kehoe, C. E. & Spivey, M. J. (2007). Graded motor responses in the time course of categorizing atypical exemplars. Memory and Cognition, 35, 15-28.
10. Dale, R., Roche, J., Snyder, K., McCall, R. (2008). Exploring action dynamics as an index of paired-associate learning. PLoS ONE 3(3): e1728.
11. Dunn, B. D., Dalgleish, T., & Lawrence, A. D. (2006). The somatic marker hypothesis: A critical evaluation. Neuroscience and Biobehavioral Reviews, 30, 239-271.
12. Duran, N. D., Dale, R., & McNamara, D. (2010). The action dynamicsof overcomingthe truth. Psychonomic Bulletin & Review, 17, 486-491.
13. Estes, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin, 53, 134-140.
14. Estes, W. K., & Maddox, W. T. (2005). Risks of drawing inferences about cognitive processes from model fits to individual versus average performance. Psychonomic Bulletin and Review, 12, 403-408.
15. Evans, J. St. B. T. (2008). Dual-processing accounts of reasoning, judgment and social cognition. Annual Review of Psychology, 59, 255-278.
16. Franco-Watkins, A. M., & Johnson, J. G. (2011). Decision moving window: Using interactive eye tracking to examine decision processes. Judgment and Decision Making, 6, 740-748.
17. Freeman, J. B., & Ambady, N. (2010). MouseTracker: Software for studying real-time mental processing using a computer mouse-tracking method. Behavior Research Methods, 42, 226-241.
18. Freeman, J. B., Dale, R., & Farmer, T. A. (2011). Hand in motion reveals mind in motion. Frontiers in Psychology, 2, 59.
19. Freeman, J. B., Pauker, K., Apfelbaum, E. P., & Ambady, N. (2010). Continuous dynamics in the real-time perception of race. Journal of Experimental Social Psychology, 46, 179-185.
20. Gigerenzer, G., & Goldstein, D. G. (1999). Betting on one good reason: The Take The Best heuristic. In Gigerenzer, G., Todd, P.M., & the ABC Research Group, Simple Heuristics That Make Us Smart. New York: Oxford University Press.
21. Glöckner, A. (2009). Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood classification method. Judgment and Decision Making, 4, 186-199.
22. Hilbig, B. E. (2008). One-reason decision making in risky choice? A closer look at the priority heuristic. Judgment and Decision Making, 3, 457-462.
23. Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), Heuristics and biases: The psychology of intuitive judgment, pp. 49-81. New York. Cambridge University Press.
24. Koop, G. J., & Johnson, J. G. (2011). Beyond process tracing: The response dynamics of preferential choice. Unpublished manuscript.
25. Johnson, J. G., & Busemeyer, J. R. (2005). A dynamic, stochastic, computational model of preference reversal phenomena. Psychological Review, 112, 841-861.
26. Maia, T. V., & McClelland, J. L. (2004a. A reexamination of the evidence for the somatic marker hypothesis: What participants really know in the Iowa gambling task. Proceedings of the National Academy of Sciences U.S.A., 101, 16075-16080.
27. Maia, T. V., & McClelland, J. L. (2004b). The somatic marker hypothesis: still many questions but no answers. Trends in Cognitive Sciences, 9, 162-164.
28. McKinstry, C., Dale, R., & Spivey, M. J. (2008). Action dynamics reveal parallel competition in decision making. Psychological Science, 19, 22-24.
29. Payne, J. W. (1976). Task complexity and contingent processing in decision-making-Information search and protocol analysis. Organizational Behavior and Human Performance, 16, 366-387.
30. 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, 534-552.
31. Riedl, R., Brandstätter, E., & Roithmayr, F. (2008). Identifying decision strategies: A processand outcomebased classification method. Behavior Research Methods, 40, 795-807.
32. Rodríguez-Sánchez, J. M., Crespo-Facorro, B., Iglesias, R. P., Bosch, C. G., Álvarez, M., Llorca, J., & Vázquez-Barquero, J. L. (2005). Prefrontal functions in stabilized first-episode patients with schizophrenia spectrum disorders: A dissociation between dorsolateral and orbitofrontal functioning. Schizophrenia Research, 77, 279-288.
33. Russo, J. E., & Rosen, L. D. (1975). An eye fixation analysis of multialternative choice. Memory & Cognition, 3, 267-276.
34. Schulte-Mecklenbeck, M., Kühberger, A., & Ranyard, R. (2010). A Handbook of Process Tracing Methods for Decision Research: A Critical Review and User's Guide. New York: Taylor & Francis.
35. Song, J.H., & Nakayama, K. (2009). Hidden cognitive states revealed in choice reaching tasks. Trends in Cognitive Sciences, 13, 360-366
36. Spivey, M. J. (2007). The continuity of mind. New York: Oxford University Press.
37. Spivey, M. J., & Dale, R. (2006). Continuous dynamics in real-time cognition. Current Directions in Psychological Science, 15, 207-211.
38. Spivey, M. J., Grosjean, M., & Knoblich, G. (2005). Continuous attraction toward phonological competitors. Proceedings of the National Academy of Sciences of the United States of America, 102, 10393-10398.
39. Wedel, M., & Pieters, F. G. M. (2000). Eye fixations on advertisements and memory for brands: a model and findings. Marketing Science, 19, 297-312.
40. Wilder, K. E., Weinberger, D. R., & Goldberg, T. E. (1998). Operant conditioningand the orbitofrontalcortex in schizophrenia patients: Unexpected evidence for intact functioning. Schizophrenia Research, 30, 169-174.
41. Wojnowicz, M. T., Ferguson, M.J., Dale, R., & Spivey, M. J. (2009). The self-organization of explicit attitudes. Psychological Science, 20, 1428-1435.