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Related Experiment Video

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Denver pain authenticity stimulus set (D-PASS).

E Paige Lloyd1, Kevin M Summers2, Christopher A Gunderson2

  • 1Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80210, USA. paige.lloyd@du.edu.

Behavior Research Methods
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PubMed
Summary
This summary is machine-generated.

The Denver Pain Authenticity Stimulus Set (D-PASS) offers 315 videos of authentic and posed pain expressions from 105 individuals. This free resource aids research into pain perception and expression authenticity.

Keywords:
EmotionIntergroup relationsInterpersonal sensitivityPain

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Area of Science:

  • Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Accurate assessment of pain is crucial in clinical and research settings.
  • Distinguishing authentic pain from posed expressions presents a significant challenge.
  • Existing stimuli for pain expression research are limited in scope and diversity.

Purpose of the Study:

  • Introduce the Denver Pain Authenticity Stimulus Set (D-PASS), a comprehensive video database.
  • Provide a free, accessible resource for researchers studying pain expression and perception.
  • Facilitate investigations into factors influencing pain authenticity detection.

Main Methods:

  • Collected 315 videos of 105 individuals displaying authentic pain (pressure algometer) and posed pain (pre/post authentic expression).
  • Developed an accompanying codebook with Facial Action Coding System metrics, pain thresholds, perception performance, and facial ratings.
  • Included neutral images and demographic data, notably a substantial number of Black and White expressers.

Main Results:

  • The D-PASS database comprises authentic and posed pain expressions with rich, multi-level data.
  • The dataset allows for analysis of expresser variability and advanced statistical methods like signal detection analysis.
  • The inclusion of diverse racial demographics enables research on race's role in pain perception.

Conclusions:

  • D-PASS is a valuable, free resource for advancing pain science research.
  • The dataset supports nuanced investigations into the authenticity of pain expressions.
  • Future research can leverage D-PASS for intergroup studies and exploring pain perception mechanisms.