About the webinar:
This webinar will explore two unique research topics.
Investigating Pharmacists’ Trust in Pill Verification AI Designed to Support Medication Dispensing with Jinyong Kim, PhD Candidate:
Artificial intelligence (AI) is increasingly integrated into safety-critical domains, offering benefits but also introducing challenges in human-AI interaction. Jinyong Kim’s research examines human trust and performance in AI-assisted decision-making, with healthcare as a primary application. During this webinar, Jinyong will present collaborative work with pharmacists, examining how communicating AI uncertainty information influences trust in medication verification.
Towards Trustworthy Human-Autonomy Interaction: Understanding Human Behavior in Interaction with Automated Vehicles with Doo Won Han, PhD Candidate:
The transition from manual driving to conditionally automated driving fundamentally transforms human-vehicle interaction by shifting drivers’ role from continuous operators to conditional supervisors who must intervene when systems reach operational limits. At the same time, external road users can no longer rely on driver-based communication cues to infer the vehicle’s intentions. These transformations create challenges in measuring interaction performance and facilitating effective communication between humans and automated systems. This presentation will explore how we can understand the interaction between humans and vehicles and promote a safer and more efficient environment.
