Publication Date
2-9-2023
Document Type
Data Set
Organizational Units
College of Arts Humanities and Social Sciences, Psychology
Abstract
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We introduce the Denver Pain Authenticity Stimulus Set (D-PASS), a free resource containing 315 videos of 105 unique individuals expressing authentic and posed pain. All expressers were recorded displaying one authentic (105; pain was elicited via a pressure algometer) and two posed (210) expressions of pain (one posed expression recorded before [posed-unrehearsed] and one recorded after [posed-rehearsed] the authentic pain expression). In addition to authentic and posed pain videos, the database includes an accompanying codebook including metrics assessed at the expresser and video-level (e.g., Facial Action Coding System (FACS) metrics for each video (controlling for neutral images of the expresser), expressers’ pain threshold and pain tolerance values, averaged pain detection performance by naïve perceivers who viewed the videos (e.g., accuracy, response bias), neutral images of each expresser, and face characteristic rating data for neutral images of each expresser (e.g., attractiveness, trustworthiness). The stimuli and accompanying codebook can be accessed for academic research purposes from https://digitalcommons.du.edu/lsdl_dpass/1/. The relatively large number of stimuli allow for consideration of expresser-level variability in analyses and enables more advanced statistical approaches (e.g., signal detection analyses); the inclusion of a large number of Black (n = 41) and White (n = 56) expressers permits investigations into the role of race in pain expression, perception, and authenticity detection; the accompanying codebook may provide pilot data for novel investigations in the intergroup or pain sciences.
Publication Statement
Copyright is held by the authors. User is responsible for all copyright compliance.
Resulting Citation:
Lloyd, E. P., Summers, K.M., Gunderson, C., Weesner, R. E., ten Brinke, L.,Hugenberg, K., & McConnell, A. R., (under review). Denver pain authenticity stimulus set (D-PASS). Manuscript Under Review.
Recommended Citation
Lloyd, E. Paige; Summers, Kevin M.; Gunderson, Christopher A.; Weesner, Rachael E.; ten Brinke, Leanne; Hugenberg, Kurt; and McConnell, Allen R., "Denver Pain Authenticity Stimulus Set (D-PASS)" (2023). Denver Pain Authenticity Stimulus Set. 1.
https://digitalcommons.du.edu/lsdl_dpass/1
https://doi.org/10.56902/LSDL.dpass.2023.1
D-PASS Data Set