Eye tracking provides a noninvasive method for measuring visual attention during human-computer interaction. Identifying which oculometric measures are most sensitive to different demands is important for the development of attention-aware systems. This pilot study examined whether common oculometric measures could dis...
Jonathan Chiu, Ayush Sunil Gawai, Allison Tran et al.· Proceedings of the Human Fac...· 0 citations
This study examines how trust and privacy perceptions vary across hospital scenarios with different levels of Human Robot Interaction (HRI) using a Lean UX research approach. Sixteen participants (24.81 ± 2.23 years, twelve females, four males) engaged with five storyboard-based scenarios: a) appointment support, b) wa...
Vipashyana Patel, Lin Jiang, Yue Luo· Proceedings of the Internati...· 0 citations
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
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