Beyond bias: response bias and interpersonal (in)sensitivity as a contributors to race disparities

Denver pain authenticity stimulus set (D-PASS)

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.

Responsiveness in interracial interactions

Perceived responsiveness-feeling understood, validated, and cared for-is critical for wellbeing and successful relationships, yet these feelings are experienced less frequently in interracial interactions than in same race-interactions. In this article, we synthesize recent research on responsiveness in interracial interactions and relationships. We first highlight how responsiveness differs in interracial versus same-race contexts. We next discuss the role of cross-race partners' goals and motivations in responsiveness, with particular attention to the ways in which self-presentation goals undermine responsiveness as well as emerging research on goals and motivations that may facilitate responsiveness in interracial interactions. Finally, we discuss how a contextual factor, the salience of race, influences responsiveness in interracial interactions.

Insensitivity to Suffering: Psychopathic Traits and Perception of Others' Pain

Despite growing evidence that psychopathy entails reduced emotional processing, the relationship between psychopathic traits and third-person pain perception is poorly understood. This study directly examined perception of others' pain in a sample of male and female students (N = 105) who completed the Self-Report Psychopathy scale (SRP-III) and the Toronto Empathy Questionnaire (TEQ). Participants watched a video of 60 one-second clips of other people experiencing pain. Following each clip, participants rated the perceived level of pain intensity and pain unpleasantness. Psychopathic traits were unrelated to response bias, suggesting that individuals high in psychopathic traits were no more or less likely to impute pain to others. However, higher levels of psychopathic traits, particularly callous affect and antisocial behavior, were associated with a decreased ability to discriminate others' pain. Sensitivity and response bias were unrelated to TEQ scores. These findings provide novel insights into the influence of psychopathic traits on emotional processing.

Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches

Pain research traverses many disciplines and methodologies. Yet, despite our understanding and field-wide acceptance of the multifactorial essence of pain as a sensory perception, emotional experience, and biopsychosocial condition, pain scientists and practitioners often remain siloed within their domain expertise and associated techniques. The context in which the field finds itself today-with increasing reliance on digital technologies, an on-going pandemic, and continued disparities in pain care-requires new collaborations and different approaches to measuring pain. Here, we review the state-of-the-art in human pain research, summarizing emerging practices and cutting-edge techniques across multiple methods and technologies. For each, we outline foreseeable technosocial considerations, reflecting on implications for standards of care, pain management, research, and societal impact. Through overviewing alternative data sources and varied ways of measuring pain and by reflecting on the concerns, limitations, and challenges facing the field, we hope to create critical dialogues, inspire more collaborations, and foster new ideas for future pain research methods.

Race Deficits in Pain Detection: Medical Providers and Laypeople Fail to Accurately Perceive Pain Authenticity Among Black People

Across six studies ( N = 904), we suggest a novel mechanism for race disparities in pain treatment: Perceiver deficits in discriminating real from fake pain for Black (relative to White) individuals. Across Studies 1–4, White participants (Studies 1–4) and Black participants (Study 2) were better at discerning authentic from inauthentic pain expressions for White targets than for Black targets. This effect emerged for both subtle (Studies 1 and 2) and intense (Studies 3 and 4) pain stimuli. Studies 5 and 6 examined consequences for medical care decisions by examining pain treatment recommendations by laypeople (Study 5) and pain authenticity judgments by medical providers (Study 6). This work advances theory in pain perception, emotion judgment, and intergroup relations. It also has practical significance for identifying unexplored mechanisms causing racial disparities in medical care.