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Related Experiment Video

Updated: Apr 15, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Speed/accuracy tradeoff in force perception.

Markus Rank1, Massimiliano Di Luca1

  • 1Research Centre for Computational Neuroscience and Cognitive Robotics, University of Birmingham.

Journal of Experimental Psychology. Human Perception and Performance
|April 14, 2015
PubMed
Summary
This summary is machine-generated.

This study extends diffusion models to haptic perception, revealing that slower responses improve force discrimination. Novel JND quantile analysis shows performance plateaus unaffected by speed or accuracy prioritization.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Haptic Perception

Background:

  • A known speed-accuracy tradeoff exists in decision-making under uncertainty.
  • Diffusion models explain response time and accuracy changes based on decision difficulty and strategy.
  • Previous applications were limited to visual stimuli, with analysis primarily using quantile-probability (QP) plots.

Purpose of the Study:

  • To extend diffusion modeling to the haptic modality.
  • To introduce and evaluate a novel JND quantile analysis for model fitting.
  • To investigate the relationship between response time, force discrimination, and strategic prioritization.

Main Methods:

  • Participants performed a binary classification task for hand-applied force stimuli (high/low).
  • Diffusion model analysis was applied to response probabilities and reaction times (RTs).
  • Just noticeable difference (JND) values were calculated for different RTs, creating JND quantile plots.

Main Results:

  • Diffusion models adequately captured response patterns under speed or accuracy prioritization in haptics.
  • JND quantile analysis revealed that slower responses enhance force discrimination up to a certain point.
  • This improved discrimination plateau was independent of prioritization instructions, contrasting diffusion model predictions.

Conclusions:

  • The diffusion model shows promise for haptic perception but requires refinement.
  • JND quantile analysis offers a valuable complement to QP plots for evaluating diffusion models.
  • This approach should be extended to other modalities, including vision, for comprehensive model assessment.