1. The Delaware Pain Database: a set of painful expressions and corresponding norming data
- Author
-
Peter Mende-Siedlecki, Jingrun Lin, Alexis Drain, Azaadeh Goharzad, and Jennie Wen Qu-Lee
- Subjects
Experimental control ,Visual perception ,PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social Cognition ,media_common.quotation_subject ,Pain ,bepress|Social and Behavioral Sciences|Psychology|Cognition and Perception ,02 engineering and technology ,Stimulus (physiology) ,computer.software_genre ,01 natural sciences ,lcsh:RD78.3-87.3 ,PsyArXiv|Social and Behavioral Sciences|Health Psychology ,Perception ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Pain perception ,Psychology ,010306 general physics ,PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology ,media_common ,Emotion ,Facial expression ,Database ,Stimulus databases ,PsyArXiv|Social and Behavioral Sciences|Perception ,PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Affect and Emotion Regulation ,PsyArXiv|Social and Behavioral Sciences|Health Psychology|Health-related Behavior ,Expression (mathematics) ,Facial expressions ,PsyArXiv|Social and Behavioral Sciences ,Anesthesiology and Pain Medicine ,bepress|Social and Behavioral Sciences|Psychology|Health Psychology ,lcsh:Anesthesiology ,Social function ,bepress|Social and Behavioral Sciences ,bepress|Social and Behavioral Sciences|Psychology|Social Psychology ,020201 artificial intelligence & image processing ,bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts ,PsyArXiv|Social and Behavioral Sciences|Perception|Picture Processing ,PsyArXiv|Social and Behavioral Sciences|Emotion ,computer ,human activities ,Research Paper - Abstract
Supplemental Digital Content is Available in the Text. We present a fully characterized face stimulus database focusing on expressions of pain, surpassing previous sets in terms of size, quality, diversity, and characterization., Introduction: Facial expressions of pain serve an essential social function by communicating suffering and soliciting aid. Accurate visual perception of painful expressions is critical because the misperception of pain signals can have serious clinical and social consequences. Therefore, it is essential that researchers have access to high-quality, diverse databases of painful expressions to better understand accuracy and bias in pain perception. Objectives: This article describes the development of a large-scale face stimulus database focusing on expressions of pain. Methods: We collected and normed a database of images of models posing painful facial expressions. We also characterized these stimuli in terms of the presence of a series of pain-relevant facial action units. In addition to our primary database of posed expressions, we provide a separate database of computer-rendered expressions of pain that may be applied to any neutral face photograph. Results: The resulting database comprises 229 unique (and now publicly available) painful expressions. To the best of our knowledge, there are no existing databases of this size, quality, or diversity in terms of race, gender, and expression intensity. We provide evidence for the reliability of expressions and evaluations of pain within these stimuli, as well as a full characterization of this set along dimensions relevant to pain such as perceived status, strength, and dominance. Moreover, our second database complements the primary set in terms of experimental control and precision. Conclusion: These stimuli will facilitate reproducible research in both experimental and clinical domains into the mechanisms supporting accuracy and bias in pain perception and care.
- Published
- 2020