Designing for passengers' information needs on fellow travelers: A comparison of day and night rides in shared automated vehicles

Shared automated mobility-on-demand promises efficient, sustainable, and flexible transportation. Nevertheless, security concerns, resilience, and their mutual influence – especially at night – will likely be the most critical barriers to public adoption since passengers have to share rides with strangers without a human driver on board. Prior research points out that having information about fellow travelers could alleviate the concerns of passengers and the authors designed two user interface variants to investigate the role of this information in an exploratory within-subjects user study (N=24). Participants experienced four automated day and night rides with varying personal information about co-passengers in a simulated environment. The results of the mixed-method study indicate that having information about other passengers (e.g., photo, gender, and name) positively affects user experience at night. In contrast, it is less necessary during the day. Considering participants' simultaneously raised privacy concerns, balancing security and privacy demands poses a substantial challenge for resilient system design.

• Record URL:
  https://doi.org/10.1016/j.apergo.2023.104198
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0003687023002363
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00036870
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Flohr, Lukas A
  • 0000-0002-1362-0589
  • Schuß, Martina
  • 0000-0002-4585-0530
  • Wallach, Dieter P
  • Krüger, Antonio
  • 0000-0002-8055-8367
  • Riener, Andreas
• Publication Date: 2024-4

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 104198
• Serial:
  • Applied Ergonomics
  • Volume: 116
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0003-6870
  • EISSN: 1872-9126
  • Serial URL: http://www.sciencedirect.com/science/journal/00036870

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Demand responsive transportation; Information services; Passengers; Ridesharing; Security
• Subject Areas: Passenger Transportation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01902581
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 19 2023 9:14AM