State-specific and supraordinal components of facial response to pain

Article Article scientifique Article State-specific and supraordinal components of facial response to pain eng 2020 author Dirupo Giada 846283 author Garlasco Paolo 829158 author Chappuis Cyrielle 671037 author Sharvit Gil Shlomo 788844 author Corradi Dell'Acqua Corrado 708925 10.1109/TAFFC.2020.2965105 1949-3045 https://ieeexplore.ieee.org/document/8954806/ Pain inadequate treatment is frequent in modern society, with major medical, ethical, and financial implications. In many healthcare environments, pain is quantified prevalently through subjective measures, such as self-reports from patients or health care providers' personal experience. Recently, automatic diagnostic tools have been developed to detect and quantify pain more "objectively" from facial expressions. However, it is still unclear if these approaches can distinguish pain from other aversive (but painless) states. In the present study, we analyzed the facial responses from a database of video-recorded facial reactions evoked by comparably-upleasant painful and disgusting stimuli. We modeled this information as function of subjective unpleasantness, as well as the specific state evoked by the stimuli (pain vs. disgust). Results show that a machine learning algorithm could predict subjective pain unpleasantness from facial information, but mistakenly detected unpleasant disgust, especially in those models relying in great extent on the brow lowerer. Importantly, pain and disgust could be disentangled using an ad hoc algorithm that rely on combined information from the eyes and the mouth. Overall, the facial expression of pain contains both specific and unpleasantness-related information shared with disgust. Automatic diagnostic tools should be guided to account for this confounding effect. Pain Gold Tools Temperature measurement Face Olfactory Dewey 150 108 Section de psychologie 71 false 1300 Laboratoire pour la théorie de la douleur (TOPLAB) IEEE Transactions on Affective Computing af36aa59-d377-4cb8-859e-3bc53fcbc8ec Article (Accepted version) Restricted 2019_-_IEEE_Aff_Comp.pdf 1631457 application/pdf restrictedAccess Faculté de psychologie et des sciences de l'éducation / Section de psychologie

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State-specific and supraordinal components of facial response to pain	IEEE Transactions on Affective Computing			2020	317	1

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Garlasco, Paolo