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Protocol for measuring context-dependent cost-benefit decision-making in humans using a web application.

Lara I Rakocevic1, Raquel Ibáñez Alcalá2, Ki A Goosens3

  • 1Computational Science Program, University of Texas at El Paso, El Paso, TX, USA; Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.

STAR Protocols
|September 14, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel protocol for measuring human decision-making across diverse contexts. The method utilizes a web application to assess naturalistic and normalized choices, incorporating eye-tracking and heart rate monitoring.

Keywords:
BehaviorCognitive NeuroscienceComputer sciencesNeuroscience

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Area of Science:

  • Cognitive Neuroscience
  • Behavioral Economics
  • Psychology

Background:

  • Understanding human decision-making is crucial in various fields.
  • Existing methods may not fully capture naturalistic choices.
  • Need for standardized protocols to measure decision-making across contexts.

Purpose of the Study:

  • To present a comprehensive protocol for measuring naturalistic and normalized decision-making in humans.
  • To detail the implementation of this protocol across four distinct contexts: approach-avoid, moral, social, and probabilistic.
  • To provide a framework for researchers to study decision-making processes.

Main Methods:

  • Development of a web application for decision-making tasks.
  • Inclusion of session setup, eye-tracker calibration, and heart rate monitoring.
  • Participants engage with stories, rate context-specific rewards/costs, and evaluate cost-reward pairings.

Main Results:

  • The protocol allows for the measurement of decision-making in naturalistic and normalized settings.
  • Data can be collected across varied decision-making contexts.
  • The methodology integrates physiological measures (heart rate) with behavioral choices.

Conclusions:

  • This protocol offers a standardized and versatile approach to studying human decision-making.
  • The web-based platform facilitates accessible and reproducible research.
  • The integration of multiple measurement modalities enhances the depth of insights into decision-making.