Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model

Autor/inn/en	Hawkins, Guy; Brown, Scott D.; Steyvers, Mark; Wagenmakers, Eric-Jan
Titel	Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model
Quelle	In: Cognitive Science, 36 (2012) 3, S.498-516 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1111/j.1551-6709.2011.01221.x
Schlagwörter	Bayesian Statistics; Reaction Time; Context Effect; Decision Making; Experiments; Stimuli; Psychology; Probability; Foreign Countries; College Students; Australia + Suchen Sie Ihr Suchwort? Reaktionsvermögen; Decision-making; Entscheidungsfindung; Erprobung; Anreizsystem; Psychologie; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Ausland; Collegestudent; Australien
Abstract	For decisions between many alternatives, the benchmark result is Hick's Law: that response time increases log-linearly with the number of choice alternatives. Even when Hick's Law is observed for response times, divergent results have been observed for error rates--sometimes error rates increase with the number of choice alternatives, and sometimes they are constant. We provide evidence from two experiments that error rates are mostly independent of the number of choice alternatives, unless context effects induce participants to trade speed for accuracy across conditions. Error rate data have previously been used to discriminate between competing theoretical accounts of Hick's Law, and our results question the validity of those conclusions. We show that a previously dismissed optimal observer model might provide a parsimonious account of both response time and error rate data. The model suggests that people approximate Bayesian inference in multi-alternative choice, except for some perceptual limitations. (Contains 7 figures and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10