Impaired perception of a partner's synchronizing behavior reduces positive attitude toward humanoid robot in schizophrenia patients.

Human-robot interaction Interpersonal synchrony Schizophrenia Social behavior Social perception

Journal

Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207

Informations de publication

Date de publication:
29 Jan 2024
Historique:
received: 04 05 2023
revised: 18 09 2023
accepted: 18 01 2024
medline: 31 1 2024
pubmed: 31 1 2024
entrez: 30 1 2024
Statut: aheadofprint

Résumé

As interpersonal synchrony plays a key role in building rapport, the perception of another agent's synchronizing behavior could be an important feature to assess, especially with patients with social deficits such as in schizophrenia. Twenty-four schizophrenia patients and twenty-four matched healthy controls performed jointly fitness movements with another agent embodied by a humanoid robot which was programmed to either synchronize with the participants or move at a fixed frequency with them. Self-report of participants' perception of the robot's synchronizing behavior was collected after each interaction. Results indicated that patients were impaired in their ability to accurately perceive the robot's synchronizing behavior. Patients' subjective perception of the robot's synchronizing behavior was associated with positive attitude toward it, suggesting that the belief to be synchronized with others could have similar impact on affiliation than real interpersonal synchrony. It leads to new perspectives for understanding social deficits in people with severe mental illness.

Identifiants

pubmed: 38290376
pii: S0920-9964(24)00027-6
doi: 10.1016/j.schres.2024.01.027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

511-518

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Juliette Lozano-Goupil (J)

EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France. Electronic address: juliette.lozano-goupil@umontpellier.fr.

Ludovic Marin (L)

EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.

Lise Aubin (L)

EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.

Amandine Decombe (A)

University Department of Adult Psychiatry, CHU Montpellier, Montpellier, France.

Hélène Serré (H)

Action Lab, Northeastern University, Boston, United States.

Delphine Capdevielle (D)

University Department of Adult Psychiatry, CHU Montpellier, Montpellier, France.

Ghilès Mostafaoui (G)

ETIS UMR8051, CY University, ENSEA, CNRS, Cergy-Pontoise, France.

Stéphane Raffard (S)

University Department of Adult Psychiatry, CHU Montpellier, Montpellier, France; Univ Paul Valery Montpellier 3, EPSYLON EA, 4556 Montpellier, France.

Classifications MeSH