Automated Vehicles are often touted as a solution to enable mobility for older users, but this user group is rarely included in their design. As a result, current developments are largely focused on the needs and skills of affluent, younger users, and ironically risk to further marginalise, instead of empowering, those who need them most. This project seeks to rethink the UX of autonomous vehicles, starting from the needs, skills, and everyday experiences of older adults.
Chief Investigators
Publications
- Abusafia, Alaa H. A., Soro, Alessandro, Schroeter, Ronald (2025) A scoping review of women’s experiences and barriers in automated vehicle research. PLoS One, 20 (9), pp.Article number: e0331402.
- Batbold, Toto, Soro, Alessandro, Schroeter, Ronald (2025) Older Adult Perspectives on Automated Vehicles: Open Issues and Future Opportunities. Transportation Research Part F: Traffic Psychology and Behaviour, 113, pp.481-499.
- Batbold, Toto, Soro, Alessandro, Schroeter, Ronald (2024) Mentorable Interfaces for Automated Vehicles: A New Paradigm for Designing Learnable Technology for Older Adults. CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, Conference on Human Factors in Computing Systems - Proceedings.
- Batbold, Toto, Soro, Alessandro, Schroeter, Ronald (2025) Driven by Learning: Exploring Older Adults' Pedagogical Preferences in Highly Automated Vehicle Interactions. CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.
