Madeline Hallewell
Deriving UX Dimensions for Future Autonomous Taxi Interface Design
Hallewell, Madeline; Large, David; Harvey, Catherine; Briars, Leah; Evans, Jenna; Coffey, Madelaine; Burnett, Gary
Authors
Dr David Large DAVID.R.LARGE@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Dr CATHERINE HARVEY CATHERINE.HARVEY@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR
Leah Briars
Jenna Evans
Madelaine Coffey
Gary Burnett
Abstract
Advances in autonomous vehicle (AV) technologies mean that driverless taxis could become a part of everyday life in cities within the next decade. We present a user-design activity leading to the development of an experience-design framework for autonomous taxi services of the future based on end-user expectations.
We used Mozilla Hubs as a design collaboration tool to inform Human-Machine-Interface (HMI) design for future autonomous taxis. Twenty-five participants joined researcher facilitators in seven group workshops utilising virtual reality (VR) environments. These environments depicted a roadside scene enabling discussion of approach, identification, and onboarding tasks; and a taxi interior immersed within a 360° video for discussing in-transit, arrival, and exit/payment interactions. Verbal prompts encouraged participants to envision and discuss HMIs, which they subsequently created within the virtual environment using 3D models from an online repository and/or the integrated “draw” function.
Analysis identified twelve dimensions of autonomous taxi user experience which provide a preliminary framework for experience design. Dimensions present semantic anchors to describe a continuum of experiences, for example “functional” vs “sociable” and “conventional” vs “futuristic”.
To demonstrate their use, four autonomous taxi HMI concepts were developed, and interactions with these were video recorded using 360° video to create materials for a VR “Wizard-of-Oz” evaluation study. 53 participants watched the videos on VR headsets or on PCs and evaluated the experiences using the dimensions. Significant differences were found between the experiences on most dimensions, suggesting that participants were able to use the dimensions as a meaningful framework for evaluating an HMI interaction.
Keywords
Autonomous Taxis, HMI design, user experience (UX) design, AV MaaS, Virtual Reality
Citation
Hallewell, M., Large, D., Harvey, C., Briars, L., Evans, J., Coffey, M., & Burnett, G. (2022). Deriving UX Dimensions for Future Autonomous Taxi Interface Design. Journal of Usability Studies, 17(4), 140-163
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 21, 2022 |
Publication Date | 2022-08 |
Deposit Date | Apr 8, 2022 |
Publicly Available Date | Aug 31, 2022 |
Journal | Journal of Usability Studies |
Electronic ISSN | 1931-3357 |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 4 |
Pages | 140-163 |
Public URL | https://nottingham-repository.worktribe.com/output/7713144 |
Publisher URL | https://uxpajournal.org/ux-future-autonomous-taxi-interface-design/ |
Files
Deriving UX Dimensions for Future Autonomous Taxi Interface Design
(1.5 Mb)
PDF
Licence
https://creativecommons.org/licenses/by/3.0/
Publisher Licence URL
https://creativecommons.org/licenses/by/3.0/
You might also like
In Two Minds: Distractive and Protective Effects of Passengers in Automated Vehicles
(2024)
Presentation / Conference Contribution
I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication
(2023)
Presentation / Conference Contribution
Ghost Busting: A Novel On-Road Exploration of External HMIs for Autonomous Vehicles
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search