Emotional intelligence and facial emotion recognition from static freeze-frame images in a simulated video-call display

Intelligence émotionnelle et reconnaissance des émotions faciales à partir d’images fixes extraites d’un affichage simulé de visioconférence

Charlotte De Sainte Maresville (), Christine Petr () and Russell Belk
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Charlotte De Sainte Maresville: UBS - Université de Bretagne Sud, UBS Vannes - Université de Bretagne Sud - Vannes - UBS - Université de Bretagne Sud, LEGO - Laboratoire d'Economie et de Gestion de l'Ouest - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO EPE - Université de Brest - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]
Christine Petr: LEGO - Laboratoire d'Economie et de Gestion de l'Ouest - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO EPE - Université de Brest - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], UBS - Université de Bretagne Sud, MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - UBO EPE - Université de Brest - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2 - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]
Russell Belk: YORKU - Schulich School of Business [York University] - York University [Toronto]

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Abstract: Digital displays increasingly shape how people visually perceive others in remote and computer-mediated settings, potentially altering access to facial emotional cues. When nonverbal information is constrained, individuals may rely on limited facial signals to infer affective meaning. This study examines whether emotional intelligence (EI) is associated with static facial emotion recognition accuracy in simulated video-call-like displays.Empirically, the study uses a single-shot forced-choice recognition task based on static freeze-frame screenshots presented in a video-call-like interface, without live interaction, dynamic video, audio cues, or turn-taking, thereby isolating a constrained perceptual component of emotion decoding. Using data from 154 participants who completed the Wong and Law Emotional Intelligence Scale alongside the recognition task, results indicate that others' emotion appraisal (OEA) is positively associated with decoding accuracy, whereas regulation of emotion (ROE), self-emotional appraisal (SEA) and use of emotion (UOE) are not reliably related to performance. Overall, EI accounts for only a small share of variance in static decoding accuracy. Taken together, the findings suggest that interpersonal appraisal abilities may be modestly relevant for static facial emotion decoding in reduced-cue digital displays and that EI plays a small perceptual role in this constrained paradigm, offering a starting point for future research with more dynamic and context-embedded designs

Keywords: static images; digital displays; emotion decoding accuracy; facial emotion recognition; emotional intelligence; emotional intelligence facial emotion recognition emotion decoding accuracy static images digital displays (search for similar items in EconPapers)
Date: 2026-02-18
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Published in Journal of Marketing Communications, 2026, pp.1-20. ⟨10.1080/13527266.2026.2632350⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05625392

DOI: 10.1080/13527266.2026.2632350

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