Humans share task load with a computer partner if (they believe that) it acts human-like.

Collaboration Coordination Human-computer interaction Joint action Multiple object tracking Social cognition

Journal

Acta psychologica
ISSN: 1873-6297
Titre abrégé: Acta Psychol (Amst)
Pays: Netherlands
ID NLM: 0370366

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 18 06 2020
revised: 07 10 2020
accepted: 13 10 2020
pubmed: 18 11 2020
medline: 20 1 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

In the near future humans will increasingly be required to cooperate and share task load with artificial agents in joint tasks as they will be able to greatly assist humans in various types of tasks and contexts. In the present study, we investigated humans' willingness to share task load with a computer partner in a joint visuospatial task. The partner was described as either behaving in a human-like or machine-like way and followed a pre-defined behaviour that was either human-like or non-human-like. We found that participants successfully shared task load when the partner behaved in a human-like way. Critically, the successful collaboration was sustained throughout the experiment only when the partner was also described as behaving in a human-like way beforehand. These findings suggest that not only the behaviour of a computer partner but also the prior description of the partner is a critical factor influencing humans' willingness to share task load.

Identifiants

pubmed: 33202313
pii: S0001-6918(20)30529-1
doi: 10.1016/j.actpsy.2020.103205
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103205

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Basil Wahn (B)

Department of Psychology, University of British Columbia, Vancouver, Canada. Electronic address: wahn@psychologie.uni-hannover.de.

Alan Kingstone (A)

Department of Psychology, University of British Columbia, Vancouver, Canada.

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Classifications MeSH