Abstract
The prevalence of Automated Driving Systems (ADS) is expected to open up many possibilities for different user groups with individual needs and challenges. Former secondary/tertiary tasks can become primary tasks, and driving with all its interactions and responsibilities steps back or disappears at all. At higher levels of AD it is expected that the elderly could maintain or regain individual mobility, thus, play a major role for future markets. To understand individual mindsets concerning technology acceptance and user needs we conducted an explorative interview study (N=27). In a simulated automated driving environment, driving experience over time was compared across three age groups (elderly people >65, younger adults <30, younger adults <30 with age simulation suite), utilizing the STAM model for content analysis. Results of the age-comparison indicate no major differences in the general technology acceptance, however, fine-grained analysis revealed interesting differences in participants' perceptions concerning UX design requirements.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, Toronto, ON, Canada, September 23-25, 2018 |
| Publisher | ACM |
| Pages | 94-104 |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - Sept 2018 |
Fields of science
- 202017 Embedded systems
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 211902 Assistive technologies
- 211912 Product design
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)