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Updated: May 31, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

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Published on: December 5, 2025

Implications of cognitive load for hypothesis generation and probability judgment.

Amber M Sprenger1, Michael R Dougherty, Sharona M Atkins

  • 1Decision Attention and Memory Lab, Department of Psychology, University of Maryland College Park, MD, USA.

Frontiers in Psychology
|July 8, 2011
PubMed
Summary

Divided attention during judgment increases probability errors, while divided attention during encoding also biases judgments by affecting hypothesis generation. These findings challenge existing models of probability judgment.

Keywords:
hypothesis generationprobability judgmentsupport theoryworking memory

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Area of Science:

  • Cognitive Psychology
  • Decision Making
  • Human Cognition

Background:

  • Probability judgments can violate the principle of additivity.
  • The HyGene model predicts how attention affects these judgments.
  • Understanding attentional effects on judgment is crucial for cognitive science.

Purpose of the Study:

  • To test HyGene's predictions regarding divided attention at encoding and judgment.
  • To investigate how attention capacity limits influence probability judgment additivity.
  • To determine the role of hypothesis generation in attentional biases.

Main Methods:

  • Three experiments were conducted to assess probability judgments under varying attentional conditions.
  • Participants' probability judgments were analyzed for violations of additivity.
  • The number of hypotheses generated was recorded to mediate effects.

Main Results:

  • Divided attention during judgment increased subadditivity, indicating capacity limitations in comparison processes.
  • Contrary to HyGene, divided attention during encoding increased later judgment biases.
  • Attentional effects on encoding were mediated by hypothesis generation, not recall limitations.

Conclusions:

  • Probability judgment processes are susceptible to attentional limitations at both encoding and judgment stages.
  • Hypothesis generation plays a key role in how encoding limitations impact subsequent judgments.
  • Existing models may need revision to account for these attentional effects on judgment biases.