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Updated: Feb 15, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
Published on: July 5, 2015
Prospect theory reflects selective allocation of attention
Thorsten Pachur1, Michael Schulte-Mecklenbeck2, Ryan O Murphy3
1Center for Adaptive Rationality, Max Planck Institute for Human Development.
This study links cumulative prospect theory (CPT) parameters to attention allocation during decision-making. Findings show individual differences in attention predict CPT parameters, suggesting attention influences risky choice.
Area of Science:
- Cognitive Psychology
- Decision Science
- Behavioral Economics
Background:
- Cumulative Prospect Theory (CPT) models risky choice but often overlooks predecisional information processing.
- Expectation models like CPT typically assume choices reflect computations, not the underlying information processing itself.
Purpose of the Study:
- To investigate the link between key psychological constructs in CPT and attention allocation during decision-making.
- To determine if attention allocation influences choice regularities captured by CPT.
Main Methods:
- Two experiments were conducted, employing process tracing to monitor participants' attention allocation to outcome and probability information.
- Experiment 1 estimated CPT parameters from choices and correlated them with attention allocation.
- Experiment 2 manipulated attention to losses/gains to observe effects on CPT parameters.
Main Results:
- Individual differences in CPT parameters (loss aversion, outcome/probability sensitivity) were systematically associated with attention allocation patterns.
- Loss aversion correlated with attention to gains versus losses; a curved weighting function correlated with less attention to probabilities.
- Manipulating attention to losses or gains systematically altered CPT's loss-aversion parameter.
Conclusions:
- Attention allocation is linked to CPT parameters, demonstrating how information processing characteristics can be reflected in choice models.
- Findings suggest CPT's 'as-if' models can reveal insights into information processing.
- The identified links between CPT and attention can inform the development of process models for risky choice.
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