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A signal detection analysis of the recognition heuristic
1University of Basel, Basel, Switzerland. tim.pleskac@gmail.com
This study integrates the recognition heuristic with signal detection theory, showing how memory errors like false alarms and misses impact decision-making. Judges can improve inferences by adjusting their recognition criteria based on environmental experience.
Area of Science:
- Cognitive Psychology
- Decision Science
- Memory Research
Background:
- The recognition heuristic explains how recognition decisions inform inferences.
- Signal detection theory models binary recognition decisions.
Purpose of the Study:
- To formally integrate the recognition heuristic with signal detection theory.
- To investigate how judges utilize recognition memory for inferences.
Main Methods:
- Formal integration of recognition heuristic and signal detection theory.
- Analysis of how recognition errors (false alarms, misses) affect heuristic performance.
Main Results:
- False alarms and misses systematically influence recognition heuristic performance.
- Judges should adapt recognition response criteria based on environmental experience.
- The less-is-more effect is contingent on cue knowledge distribution and sensitivity to experienced vs. novel items.
Conclusions:
- Bridging the recognition heuristic and recognition memory models offers theoretical insights.
- Understanding memory's role in judgment is crucial for improving decision-making accuracy.
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