Effects of an intelligent virtual assistant on office task performance and workload in a noisy environment.
Background noise
Conversational agents
Digital personal assistants
Human-computer interaction
Intelligent virtual assistant
Office work
Journal
Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
14
03
2022
revised:
04
01
2023
accepted:
10
01
2023
pubmed:
27
1
2023
medline:
7
3
2023
entrez:
26
1
2023
Statut:
ppublish
Résumé
This study examines the effects of noise and the use of an Intelligent Virtual Assistant (IVA) on the task performance and workload of office workers. Data were collected from forty-eight adults across varied office task scenarios (i.e., sending an email, setting up a timer/reminder, and searching for a phone number/address) and noise types (i.e., silence, non-verbal noise, and verbal noise). The baseline for this study is measured without the use of an IVA. Significant differences in performance and workload were found on both objective and subjective measures. In particular, verbal noise emerged as the primary factor affecting performance using an IVA. Task performance was dependent on the task scenario and noise type. Subjective ratings found that participants preferred to use IVA for less complex tasks. Future work can focus more on the effects of tasks, demographics, and learning curves. Furthermore, this work can help guide IVA system designers by highlighting factors affecting performance.
Identifiants
pubmed: 36702001
pii: S0003-6870(23)00007-8
doi: 10.1016/j.apergo.2023.103969
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103969Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.