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Over- and underweighting of extreme values in decisions from sequential samples
Verena Clarmann von Clarenau1, Stefan Appelhoff1, Thorsten Pachur1
1Center for Adaptive Rationality, Max Planck Institute for Human Development.
Journal of Experimental Psychology. General
|January 25, 2024
Summary
Decisions based on numerical samples show subjective compression or anti-compression, depending on the task. This suggests human decision-making adapts to task demands, influencing how extreme values are weighted.
Area of Science:
- Cognitive psychology
- Behavioral economics
- Psychophysics
Background:
- Traditional models suggest subjective magnitude compression (underweighting extreme values) in decision-making.
- Recent findings indicate anti-compression (overweighting extreme values), creating a discrepancy in the literature.
Purpose of the Study:
- Investigate reasons for conflicting findings on subjective value compression.
- Propose that observed compression or anti-compression reflects adaptive responses to task requirements.
Main Methods:
- Conducted a large-scale study (n=586) on sequential numerical integration.
- Manipulated task requirements (averaging vs. comparison), value distributions (uniform vs. Gaussian), and value ranges.
- Utilized model simulations to analyze the benefits of compression/anti-compression for noisy observers.
Main Results:
- Observed subjective value compression in an averaging task.
- Found evidence of anti-compression in a comparison task.
- Demonstrated that both compression and anti-compression patterns were consistent across different distributions and ranges.
Conclusions:
- Task requirements critically influence subjective value processing, leading to either compression or anti-compression.
- Observed patterns of over- and underweighting of extreme values may represent adaptive strategies.
- Findings suggest decision-making mechanisms are flexible and responsive to environmental demands.
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