TY - JOUR
T1 - The effect of explanation in simple binary decision tasks
AU - Taylor, Eric G.
AU - Landy, David H.
AU - Ross, Brian H.
N1 - Funding Information:
Correspondence should be addressed to Eric G. Taylor, Yale University, Psychology Department, 2 Hillhouse Avenue, New Haven, CT 06520, USA. E-mail: [email protected] This research was supported by AFOSR (Air Force Office of Scientific Research) Grant FA9550-07-1-0147. We thank John Hummel, Erin Jones Higgins, and the Ross-Hummel lab meeting for their helpful comments regarding this research. We also thank three anonymous reviewers of a previous version of this work for helpful suggestions and comments.
PY - 2012/3
Y1 - 2012/3
N2 - Many studies of explanation have focused on higher level tasks and on how explanations draw upon relevant prior knowledge, which then helps in understanding some event or observation. However, explanations may also affect performance in simple tasks even when they include no task-relevant information. In three experiments, we show that explanations adding no task-relevant information alter performance in a sequential binary decision task. Whereas people with no explanation for why two events occurred at different rates tended to predict each outcome in proportion to their probability of occurrence (to "probability match"), people with an explanation tended to predict the more likely event more often (to "overmatch," a better strategy). These results suggest a broader view of explanation, which includes a role in shaping simple tasks outside of higher level reasoning.
AB - Many studies of explanation have focused on higher level tasks and on how explanations draw upon relevant prior knowledge, which then helps in understanding some event or observation. However, explanations may also affect performance in simple tasks even when they include no task-relevant information. In three experiments, we show that explanations adding no task-relevant information alter performance in a sequential binary decision task. Whereas people with no explanation for why two events occurred at different rates tended to predict each outcome in proportion to their probability of occurrence (to "probability match"), people with an explanation tended to predict the more likely event more often (to "overmatch," a better strategy). These results suggest a broader view of explanation, which includes a role in shaping simple tasks outside of higher level reasoning.
KW - Causal reasoning
KW - Decision making
KW - Explanation
KW - Probability matching
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U2 - 10.1080/17470218.2012.656664
DO - 10.1080/17470218.2012.656664
M3 - Article
C2 - 22494344
AN - SCOPUS:84864669416
SN - 1747-0218
VL - 65
SP - 1361
EP - 1375
JO - Quarterly Journal of Experimental Psychology
JF - Quarterly Journal of Experimental Psychology
IS - 7
ER -