Document detail
ID

oai:HAL:hal-02985246v1

Topic
CCS CONCEPTS · Human-centered comp... · Applied computing → Health infor... Virtual Agents Non-verbal communication Parkinson's Disease [INFO.INFO-HC]Computer Science [cs... [SDV.MHEP]Life Sciences [q-bio]/Hu...
Author
Dussard, Claire Basirat, Anahita Betrouni, Nacim Moreau, Caroline Devos, David Cabestaing, François Rouillard, José
Langue
en
Editor

HAL CCSD

Category

CNRS - Centre national de la recherche scientifique

Year

2020

listing date

10/7/2023

Keywords
expressed virtual parkinson accuracy agents patients hc recognition
Metrics

Abstract

International audience; 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.

Dussard, Claire,Basirat, Anahita,Betrouni, Nacim,Moreau, Caroline,Devos, David,Cabestaing, François,Rouillard, José, 2020, Preliminary Study of the Perception of Emotions Expressed by Virtual Agents in the context of Parkinson’s disease, HAL CCSD

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