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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
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Speed-accuracy trade-offs in sample-based decisions.
Klaus Fiedler1, Linda McCaughey1, Johannes Prager1
1Department of Psychology.
Journal of Experimental Psychology. General
|November 30, 2020
Summary
Participants in a sequential investment game oversampled data, demonstrating a significant accuracy bias. This metacognitive deficit led to suboptimal decisions, even when speed advantages were highlighted.
Area of Science:
- Cognitive Psychology
- Decision Science
- Behavioral Economics
Background:
- Many tasks require balancing speed and accuracy.
- This study investigates a novel speed-accuracy trade-off in sample-based decisions.
Purpose of the Study:
- To examine the extent to which metacognitive functions correct accuracy biases in speed-accuracy trade-offs.
- To identify psychological reasons and potential remedies for metacognitive deficits in regulating trade-offs.
Main Methods:
- Participants played a sequential investment game, making decisions based on binary samples.
- Payoff was determined by choice accuracy and speed (number of decisions).
- Various manipulations were employed to highlight the speed advantage and correct bias.
Main Results:
- Participants exhibited strong accuracy biases and significant payoff losses due to oversampling.
- The accuracy bias persisted across different participant groups and experimental manipulations.
- Metacognitive deficits in regulating the speed-accuracy trade-off were evident.
Conclusions:
- Individuals often fail to grasp the dominance of speed over accuracy in sample-based decisions.
- Metacognitive monitoring and control are crucial for optimizing speed-accuracy trade-offs.
- Further research is needed to develop effective interventions for this metacognitive deficit.
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