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Eliciting User Needs and Design Requirements for User Experience in Fully Automated Vehicles

Authors
Lee, Seul ChanNadri, ChihabSanghavi, HarshJeon, Myounghoon
Issue Date
Mar-2022
Publisher
Lawrence Erlbaum Associates Inc.
Citation
International Journal of Human-Computer Interaction, v.38, no.3, pp 227 - 239
Pages
13
Indexed
SCIE
SSCI
SCOPUS
Journal Title
International Journal of Human-Computer Interaction
Volume
38
Number
3
Start Page
227
End Page
239
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118535
DOI
10.1080/10447318.2021.1937875
ISSN
1044-7318
1532-7590
Abstract
The introduction of fully automated vehicles (FAVs) will change user experiences (UX) in personal transportation. In order for FAVs to become a life enhancing technology, it is required to design vehicular applications and user interfaces based on users’ expectations. To this end, we investigated user needs and design requirements. First, we elicited design taxonomy and use cases through literature review and trend analysis. Using these materials, expert interviews (N = 9) and focus group interviews (N = 10) were conducted. Through the qualitative analysis, we obtained twelve categories of user needs and devised design requirements based on the updated design taxonomy. While some of them have been an extension of current experiences in manual driving, completely new demands have also emerged within FAVs. Our findings contribute to designing UX in FAVs by satisfying users’ expectations and key values that can guide designers. © 2021 Taylor & Francis Group, LLC.
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COLLEGE OF COMPUTING > SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY > 1. Journal Articles

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