The findings indicate that acceptance of in-vehicle AI depends on clear communication, appropriate control boundaries, safety-relevant intervention, and responsible data use.
Camille Santos, Guan-Nan Liu, Yue Luo et al.· Proceedings of the Human Fac...· 0 citations
Mental health conditions are widespread, yet scalable assessment remains limited, as clinical interviews are time-intensive and self-report screeners are episodic and prone to bias, motivating passive, data-driven approaches. This study investigates whether short-term physical activity patterns captured by consumer wea...
Guan-Nan Liu, Jae Yoo, Gao-Jian Huang et al.· Proceedings of the Internati...· 0 citations
It is suggested that AI-enabled vehicles can support urgent takeover communication through visual-tactile displays and can adapt message content to the time available and the maneuver quality required, with implications for drivers across hearing abilities.