Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality
Many nations' transportation strategies have highlighted the potential of autonomous vehicles and have made plans to slowly phase them into societies over the next decade. Consequently, public acceptance of autonomous vehicles is crucial, and this study will be applying the extended Unified The...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173289 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-173289 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1732892024-01-23T04:51:08Z Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality Koh, Le Yi Yuen, Kum Fai School of Civil and Environmental Engineering Engineering::Civil engineering Autonomous Vehicle Public Acceptance Many nations' transportation strategies have highlighted the potential of autonomous vehicles and have made plans to slowly phase them into societies over the next decade. Consequently, public acceptance of autonomous vehicles is crucial, and this study will be applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and Computers as Social Actors as the theoretical backbone. Five hundred valid survey responses from people residing in Singapore were collected and structural equation modeling was utilized to confirm the theoretical model. From the results, all of the identified constructs from UTAUT2 and Computer as Social Actors are significant. The performance expectancy of autonomous vehicles and interaction quality of the intelligent in-vehicle interaction technology also mediate public acceptance of autonomous vehicles. Moreover, among the constructs, interaction quality, social influence, and performance expectancy have the greatest total effect on the acceptance of autonomous vehicles. Accordingly, regular feedback sessions must be conducted to ensure consumer-centric improvements in interaction quality and performance expectancy of autonomous vehicles. Furthermore, test drives and collaborative educational campaigns can be organized to generate positive word of mouth about the vehicles among the public. 2024-01-23T04:51:08Z 2024-01-23T04:51:08Z 2023 Journal Article Koh, L. Y. & Yuen, K. F. (2023). Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality. Transportation Research Part A: Policy and Practice, 178, 103864-. https://dx.doi.org/10.1016/j.tra.2023.103864 0965-8564 https://hdl.handle.net/10356/173289 10.1016/j.tra.2023.103864 2-s2.0-85175256017 178 103864 en Transportation Research Part A: Policy and Practice © 2023 Elsevier Ltd. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Civil engineering Autonomous Vehicle Public Acceptance |
spellingShingle |
Engineering::Civil engineering Autonomous Vehicle Public Acceptance Koh, Le Yi Yuen, Kum Fai Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
description |
Many nations' transportation strategies have highlighted the potential of autonomous vehicles and have made plans to slowly phase them into societies over the next decade. Consequently, public acceptance of autonomous vehicles is crucial, and this study will be applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and Computers as Social Actors as the theoretical backbone. Five hundred valid survey responses from people residing in Singapore were collected and structural equation modeling was utilized to confirm the theoretical model. From the results, all of the identified constructs from UTAUT2 and Computer as Social Actors are significant. The performance expectancy of autonomous vehicles and interaction quality of the intelligent in-vehicle interaction technology also mediate public acceptance of autonomous vehicles. Moreover, among the constructs, interaction quality, social influence, and performance expectancy have the greatest total effect on the acceptance of autonomous vehicles. Accordingly, regular feedback sessions must be conducted to ensure consumer-centric improvements in interaction quality and performance expectancy of autonomous vehicles. Furthermore, test drives and collaborative educational campaigns can be organized to generate positive word of mouth about the vehicles among the public. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Koh, Le Yi Yuen, Kum Fai |
format |
Article |
author |
Koh, Le Yi Yuen, Kum Fai |
author_sort |
Koh, Le Yi |
title |
Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
title_short |
Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
title_full |
Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
title_fullStr |
Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
title_full_unstemmed |
Public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
title_sort |
public acceptance of autonomous vehicles: examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173289 |
_version_ |
1789482959758163968 |