Cited by 4Human-Automation Interaction and SafetyDigital Accessibility for DisabilitiesAssistive Technology in Communication and Mobility

The DOI matches its Crossref record, with a small difference in title or year.

Designing HMI for BVI Users in Fully Automated Vehicles: A Participatory and In-the-field Approach

Ma, Zhengtao, Schroeter, Ronald, Gomez, Rafael·2024·The 26th International ACM SIGACCESS Conference on Computers and Accessibility

Abstract

Fully Automated Vehicles (FAVs) have the potential to provide blind and visually impaired (BVI) individuals with mobility independence. However, understanding their user experience in this new form of transportation presents challenges. Researchers in human-computer interaction and accessibility lack comprehensive guidance on conducting safe and ecologically valid studies with BVI participants. This poster reviews the literature and proposes a methodology for conducting field research with BVI users in automated vehicles, particularly in designing the human-machine interface (HMI) for FAVs. We present the participatory and in-the-field method with example study designs: a focus group for field study and an on-road driving study with a Wizard of Oz FAV. This method will assist researchers in gaining deeper insights into the interaction between BVI users and automated vehicles in the real world.

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Crossref · 10.1145/3663548.3688507

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Research works printed but not linked: 19

  1. 10.1145/2799250.2799288 · DOI
  2. 10.1145/3234695.3236347 · DOI · Paper page
  3. 10.1145/3290605.3300425 · DOI
  4. 10.1145/3372280 · DOI
  5. 10.1080/10447318.2018.1561787 · DOI · Paper page
  6. 10.1145/3132525.3132532 · DOI · Paper page
  7. Joost de Winter, P.M. Leeuwen, and Riender Happee. 2012. Advantages and disadvantages of driving simulators: a discussion. In Proceedings of Measuring Behavior 2012 (Utrecht, The Netherlands). Measuring Behavior, Wageningen, NL, 47–50.
  8. 10.1145/3409120.3410662 · DOI
  9. 10.1016/j.neulet.2021.136103 · DOI
  10. 10.1145/3173574.3174186 · DOI
  11. 10.1016/S2214-109X(20)30488-5 · DOI · Paper page
  12. 10.1145/3544548.3580762 · DOI · Paper page
  13. 10.1068/p090183 · DOI
  14. 10.1145/3517428.3551355 · DOI
  15. 10.1080/10447318.2014.959104 · DOI
  16. 10.1016/j.tra.2021.06.014 · DOI
  17. 10.1145/3659618 · DOI · Paper page
  18. 10.1016/j.trip.2022.100630 · DOI
  19. SAE International. 2021. Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. https://doi.org/10.4271/J3016_202104 · DOI

Cited by

Metadata

Authors
Ma, Z., Schroeter, R., & Gomez, R.
Affiliations
  • Queensland University of Technology (AU)
  • School of Design, Queensland University of Technology, Australia
Venue
The 26th International ACM SIGACCESS Conference on Computers and Accessibility
Publisher
ACM
Published
2024-10-27
Pages
1-5
OpenAlex
W4403576906
Cited by
4
References
0
Citations by year
2026: 2 · 2025: 2
FWCI
2.69
Type
conference paper
Language
en
Open access
closed
Locations
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
Keywords
blind and visually impaired users, fully automated vehicles, human-machine interface design, accessibility, participatory design, field methods, Wizard of Oz, user experience, independent mobility

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