Why do you like to drive automated?: a context-dependent analysis of highly automated driving to ...
summary
A qualitative simulator study (N=30) uses IPG CarMaker to run three-minute ride scenarios varying road type (rural/urban/highway) and traffic volume (light/moderate/heavy), then applies laddering interviews and codes 172 propositions against seven psychological needs (Sheldon). Results show context-dependent need profiles: autonomy is generally met, urban scenarios raise safety concerns and reduce comfort, and stimulation is often unmet (notably on highways). Recommendations: adaptive IUIs that augment traffic cues, enable limited manual control for stimulation, and support meaningful non-driving tasks to lower perceived travel time.
AI-written summary · about
chapters (7)
- 0:00Introduction to automated driving
- 1:55Understanding user experience
- 4:52Study design and simulator setup
- 8:04Key findings on psychological needs
- 11:51Balancing autonomy and stimulation
- 14:30Future research and conclusions
- 15:56Q&A session
