Denver pain authenticity stimulus set (D-PASS).

Autor: Lloyd EP; Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80210, USA. paige.lloyd@du.edu., Summers KM; Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80210, USA., Gunderson CA; Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80210, USA., Weesner RE; Psychiatry Residency Program, University of Colorado, Denver, CO, USA., Ten Brinke L; Department of Psychology, University of British Columbia - Okanagan, Kelowna, Canada., Hugenberg K; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA., McConnell AR; Department of Psychology, Miami University, Oxford, OH, USA.
Jazyk: angličtina
Zdroj: Behavior research methods [Behav Res Methods] 2024 Apr; Vol. 56 (4), pp. 2992-3008. Date of Electronic Publication: 2023 Nov 22.
DOI: 10.3758/s13428-023-02283-2
Abstrakt: 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 levels (e.g., Facial Action Coding System 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 enable more advanced statistical approaches (e.g., signal detection analyses). Furthermore, the 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. Finally, the accompanying codebook may provide pilot data for novel investigations in the intergroup or pain sciences.
(© 2023. The Psychonomic Society, Inc.)
Databáze: MEDLINE
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