Titre :

Preliminary Study of the Perception of Emotions Expressed by Virtual Agents in the context of Parkinson’s disease

Auteur(s) :

Dussard, Claire [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Basirat, Anahita [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Betrouni, Nacim [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Moreau, caroline [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Devos, David [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Cabestaing, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Rouillard, Jose [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la manifestation scientifique :

Workshop on Social Affective Multimodal Interaction for Health (SAMIH) - ICMI 2020

Ville :

Utrecht, the Netherlands (virtual)

Pays :

Pays-Bas

Date de début de la manifestation scientifique :

2020-10-25

Mot(s)-clé(s) en anglais :

CCS CONCEPTS · Human-centered computing → Empirical studies in HCI
· Applied computing → Health informatics KEYWORDS Emotion Recognition
Virtual Agents
Non-verbal communication
Parkinson's Disease

Discipline(s) HAL :

Informatique [cs]/Interface homme-machine [cs.HC]
Sciences du Vivant [q-bio]/Médecine humaine et pathologie

Résumé en anglais : [en]

In the context of Parkinson's disease, this preliminary work aims to study the recognition profiles of emotional faces, dynamically expressed by virtual agents in a Healthy Control (HC) population. In this online experiment, ...
Lire la suite >In the context of Parkinson's disease, this preliminary work aims to study the recognition profiles of emotional faces, dynamically expressed by virtual agents in a Healthy Control (HC) population. In this online experiment, users had to watch 56 trials of two-second animations, showing an emotion progressively expressed by an avatar and then indicate the recognized emotion by clicking a button. 211 participants completed this experiment online as HC. Of the demographics variables, only age influenced negatively recognition accuracy in HC. The intensity of the expression influenced accuracy as well. Interaction effects between gender, emotion, intensity , and avatar gender are also discussed. The results of four patients with Parkinson's Disease are presented as well. Patients tended to have lower recognition accuracy than age-matched HC (59% for age-matched HC; 45.1% for patients). Joy, sadness and fear seemed less recognized by patients.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL