Abstract / Description of output
With increasing automation, occupants of fully autonomous vehicles are likely to be completely disengaged from the driving task. However, even with no driving involved, there are still activities that will require interfaces between the vehicle and passengers. This study evaluated different configurations of screens providing operational-related information to occupants for tracking the progress of journeys. Surveys and interviews were used to measure trust, usability, workload and experience after users were driven by an autonomous low speed pod. Results showed that participants want to monitor the state of the vehicle and see details about the ride, including a map of the route and related information. There was a preference for this information to be displayed via an onboard touchscreen device combined with an overhead letterbox display versus a smartphone-based interface. This paper provides recommendations for the design of devices with the potential to improve the user interaction with future autonomous vehicles.
Original language | English |
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Title of host publication | Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications |
Place of Publication | New York, NY, USA |
Publisher | ACM Association for Computing Machinery |
Pages | 320–331 |
Number of pages | 12 |
ISBN (Print) | 9781450359467 |
DOIs | |
Publication status | Published - 23 Sept 2018 |
Event | 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications - Toronto, Canada Duration: 23 Sept 2018 → 25 Sept 2018 https://www.auto-ui.org/18/ |
Publication series
Name | AutomotiveUI '18 |
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Publisher | Association for Computing Machinery |
Conference
Conference | 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications |
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Abbreviated title | AutomotiveUI 2018 |
Country/Territory | Canada |
City | Toronto |
Period | 23/09/18 → 25/09/18 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Trust in automation
- interfaces
- AVs
- usability
- workload
- Autonomous Vehicles
- user study
- Level-4
- User Experience