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Some task demands induce collapsing bounds: Evidence from a behavioral analysis.

James J Palestro1, Emily Weichart2, Per B Sederberg2

  • 1Department of Psychology, The Ohio State University, Columbus, OH, 43210, USA.

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|May 31, 2018
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Summary
This summary is machine-generated.

This study found that decision thresholds dynamically collapse over time, challenging traditional fixed-threshold models in choice-response time tasks. This dynamic policy helps explain human decision-making strategies in complex tasks.

Keywords:
Collapsing boundariesFixed boundariesInterrogationRandom dot motion

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Decision Science

Background:

  • Traditional choice-response time models assume fixed decision thresholds for evidence accumulation.
  • Recent research questions the time-invariance of these thresholds, proposing time-variant alternatives like collapsing decision thresholds.

Purpose of the Study:

  • To investigate the validity of the collapsing decision threshold assumption in cognitive models.
  • To compare model fit between time-invariant and time-variant threshold models using a novel experimental design.

Main Methods:

  • Utilized a highly constrained experimental design combining interrogation and free response paradigms within a random dot motion (RDM) task.
  • Assessed relative model fit to response time data from human subjects performing the mixed task.

Main Results:

  • Strong evidence supports the collapsing decision threshold model over traditional fixed-threshold models.
  • Subjects appear to adopt a dynamic decision policy, adjusting thresholds over time.

Conclusions:

  • Collapsing decision thresholds provide a more accurate explanation for human decision strategies in tasks with mixed response paradigms and varying evidence strengths.
  • Time-variant mechanisms are a viable explanation for observed human decision-making strategies in this context.