Description
Supplementary data for the paper: Gao, R.*, Verstegen, R.*, Dong, H., Bazilinskyy, P., Martens, M.H. (2024). Incorporating Multiple Users’ Perspectives in HMI Design for Automated Vehicles: Exploration of a Role-Switching Approach. 16th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI’ 24).
*Ruolin Gao and Rutger Verstegen share an equal contribution to this publication.
This study had the objective of exploring a role-switching approach for the design of human-machine interfaces for automated vehicles. This study involved a physical standstill traffic scenario where participants switched between the roles of pedestrian, cyclist, manual car driver and passenger of an automated vehicle. The data collection method was a questionnaire booklet, where participants answered questions with text input, multiple choice answers and sketches. Next to that, a focus group session was audio recorded and transcribed. The mentioned booklet and the researcher’s instructions can be found in these supplementary materials as PDFs. Next, we present an Excel file explaining the codes used for the analysis of the qualitative data.
*Ruolin Gao and Rutger Verstegen share an equal contribution to this publication.
This study had the objective of exploring a role-switching approach for the design of human-machine interfaces for automated vehicles. This study involved a physical standstill traffic scenario where participants switched between the roles of pedestrian, cyclist, manual car driver and passenger of an automated vehicle. The data collection method was a questionnaire booklet, where participants answered questions with text input, multiple choice answers and sketches. Next to that, a focus group session was audio recorded and transcribed. The mentioned booklet and the researcher’s instructions can be found in these supplementary materials as PDFs. Next, we present an Excel file explaining the codes used for the analysis of the qualitative data.
Date made available | 25 Jul 2024 |
---|---|
Publisher | 4TU.Centre for Research Data |