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Updated: Oct 4, 2025

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
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High-value decisions are fast and accurate, inconsistent with diminishing value sensitivity
Blair R K Shevlin1, Stephanie M Smith1,2, Jan Hausfeld3,4,5
1Department of Psychology, The Ohio State University, Columbus, OH 43210.
Summary
Contrary to popular belief, people make faster and more accurate choices between high-value options. Alerting participants to high-value decisions actually increases their caution, challenging existing models of value-based choice.
Area of Science:
- Cognitive Psychology
- Neuroeconomics
- Decision Science
Background:
- A common assumption is that choice accuracy and speed decrease as option values increase.
- This aligns with psychological principles like diminishing marginal utility and economic theories such as random utility theory.
- Existing models predict slower, less accurate choices for high-value options.
Purpose of the Study:
- To investigate how decision-making dynamics change with increasing option values.
- To test predictions derived from established economic and psychological models of choice.
- To examine the role of discriminability and response caution in value-based decisions.
Main Methods:
- Modeling choice process dynamics across three distinct domains.
- Utilizing tasks involving both subjective and objective values.
- Analyzing decision accuracy and response times in relation to option values.
Main Results:
- Decisions between high-value options were generally faster and more accurate (higher drift rates).
- Participants exhibited increased caution when anticipating high-value decisions, contrary to some predictions.
- Results challenge the notion that increasing value inherently reduces discriminability.
Conclusions:
- The assumption that increasing value reduces choice discriminability is questioned.
- Decision-making strategies for high-value options may differ from predictions based on diminishing sensitivity.
- Future research should explore the nuanced factors influencing choice dynamics across different value ranges.
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