A novel autonomous vehicle interface for older adults with cognitive impairment.

Autonomous vehicle Cognitive impairment In-vehicle display Interface design Older adults

Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 21 09 2022
revised: 18 05 2023
accepted: 22 06 2023
medline: 25 8 2023
pubmed: 8 7 2023
entrez: 7 7 2023
Statut: ppublish

Résumé

The population of older Americans with cognitive impairments, especially memory loss, is growing. Autonomous vehicles (AVs) have the potential to improve the mobility of older adults with cognitive impairment; however, there are still concerns regarding AVs' usability and accessibility in this population. Study objectives were to (1) better understand the needs and requirements of older adults with mild and moderate cognitive impairments regarding AVs, and (2) create a prototype for a holistic, user-friendly interface for AV interactions. An initial (Generation 1) prototype was designed based on the literature and usability principles. Based on the findings of phone interviews and focus group meetings with older adults and caregivers (n = 23), an enhanced interface (Generation 2) was developed. This generation 2 prototype has the potential to reduce the mental workload and anxiety of older adults in their interactions with AVs and can inform the design of future in-vehicle information systems for older adults.

Identifiants

pubmed: 37418908
pii: S0003-6870(23)00118-7
doi: 10.1016/j.apergo.2023.104080
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104080

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Research article entitled “A Novel Autonomous Vehicle Interface for Older Adults with Cognitive Impairment” has no conflict of interest to declare.

Auteurs

Junho Park (J)

Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA.

Maryam Zahabi (M)

Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA. Electronic address: mzahabi@tamu.edu.

Skylar Blanchard (S)

Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA.

Xi Zheng (X)

Wyze, 5808 Lake Washington Blvd NE, WA, USA.

Marcia Ory (M)

School of Public Health, Texas A&M University, College Station, TX, USA.

Mark Benden (M)

School of Public Health, Texas A&M University, College Station, TX, USA.

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