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To consult or not: A signal detecti...
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Luan, Shenghua.
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To consult or not: A signal detection study of advice-taking.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
To consult or not: A signal detection study of advice-taking./
作者:
Luan, Shenghua.
面頁冊數:
91 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 4326.
Contained By:
Dissertation Abstracts International65-08B.
標題:
Psychology, Experimental. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145941
ISBN:
0496038095
To consult or not: A signal detection study of advice-taking.
Luan, Shenghua.
To consult or not: A signal detection study of advice-taking.
- 91 p.
Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 4326.
Thesis (Ph.D.)--University of Florida, 2004.
Seeking advice from other people or sources is a common practice in making real-life decisions. In this study, a normative model based on the signal detection theory (SDT) was developed to describe how people should acquire and use advice in a detection task. The model shows how advice-taking should depend on the decision-maker's own estimate as well as the cost, expertise, and decision bias of the potential advisors. Based on this model, three experiments were conducted to explore how human participants took and used advice in different decision environments, and whether their observed behaviors were consistent with the model's prescriptions.
ISBN: 0496038095Subjects--Topical Terms:
517106
Psychology, Experimental.
To consult or not: A signal detection study of advice-taking.
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Seeking advice from other people or sources is a common practice in making real-life decisions. In this study, a normative model based on the signal detection theory (SDT) was developed to describe how people should acquire and use advice in a detection task. The model shows how advice-taking should depend on the decision-maker's own estimate as well as the cost, expertise, and decision bias of the potential advisors. Based on this model, three experiments were conducted to explore how human participants took and used advice in different decision environments, and whether their observed behaviors were consistent with the model's prescriptions.
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In Experiment 1, participants were asked to decide whether to consult an advisor's opinion on each experimental trial. Both the cost and the displayed format of the advice were manipulated. It was found that participants consulted more frequently when their own estimates were low, and less frequently when they were high; and they could adjust their consulting frequencies in proper directions in different task conditions. In Experiment II, two advisors having different expertise and information costs but equal information values were available to consult. Participants were found to consult the "low-expertise-low-cost" advisor more often than the "high-expertise-high-cost" one. This result indicated that participants weighed "cost" more heavily than "accuracy" in the accuracy-cost tradeoff involved in advice-taking. In Experiment III, two advisors with equal expertise but different decision biases were presented. Our model prescribed that a consulting strategy based on a "confirmation-bias-like" rationale would be the best strategy for the participants to use. And this strategy was found to be the one that most participants actually adopted to take biased advice.
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Based on the results from those three experiments, it can be concluded that people have certain behavioral tendencies and are task-sensitive when taking advice from external sources. And our SDT model can be useful for identifying whether and how those observed behaviors are deviated from the optimal. With this model as the theoretical guidance, more studies focusing on issues in advice-taking are expected to be conducted in the future.
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