Abstract
Methods and metrics for studying interactions between automated vehicles and other road users in their vicinity, such as pedestrians, cyclists and non-automated vehicles, are not established yet. This workshop focuses on identifying the strengths and weaknesses of various methodologies that could potentially be used to study such interactions. The objective lies in determining the proper experimental design, sensitivity of metrics for measuring user behavior, ecological validity, generalizability of findings, extraction of insights regarding how findings can be translated into actionable requirements, and the alternatives for conducting longitudinal field studies. It will be of an interactive nature and involve hands-on activities. The workshop will consolidate existing knowledge, identify recurring issues, and explore the path towards resolving these issues. The outcome will be compiled into a paper to share this valuable knowledge with a broader research community.
Original language | English |
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Title of host publication | AutomotiveUI '18 |
Subtitle of host publication | ACM 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct Proceedings |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Pages | 17-22 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4503-5947-4 |
DOIs | |
Publication status | Published - 23 Sept 2018 |
Event | 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2018) - Toronto, Canada Duration: 23 Sept 2018 → 25 Sept 2018 Conference number: 10 https://www.auto-ui.org/18/ |
Conference
Conference | 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2018) |
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Abbreviated title | AutomotiveUI'18 |
Country/Territory | Canada |
City | Toronto |
Period | 23/09/18 → 25/09/18 |
Internet address |
Keywords
- Automated driving
- External communication
- Interaction
- Metrics
- Research methodology
- eHMI