Department of Artificial Intelligence

Topic: Program-Guided Robot Learning

Speaker: Yung-Ju (Stanley) Chang.  Associate Professor, Department of Computer Science, Institute of Communication Studies, National Yang Ming Chiao Tung University

Time: 2025/03/04 (Tue) 14:10-16:00

Venue: The Management Building, 11F, AI Lecture Hall

Join Online: https://reurl.cc/kMDxab or scan QR code on poster 

About the Speaker:  

Yung-Ju (Stanley) Chang received his M.S. and Ph.D. degrees in Information Science from the University of Michigan. He is currently a professor in the Department of Computer Science at National Yang Ming Chiao Tung University (NYCU). His research interests lie in the area of Human-Computer Interaction (HCI), with a specific focus on attention management, notification systems, mobile crowdsourcing, human-AI interaction, and social media influencers.

Abstract:

Over the past decade, research on attention management within Human-Computer Interaction (HCI) has evolved significantly. Early studies primarily focused on protecting users' attention by identifying appropriate moments for interruptions and analyzing how people respond to them. However, as the field has progressed, the focus has gradually shifted toward enhancing users’ interactions with incoming information and ensuring that digital engagement and time allocation become more efficient, effective, and meaningful. Throughout this evolving trend, new research challenges have emerged. My past projects have explored and addressed these challenges, while my current work continues to tackle the latest issues arising from these ongoing developments. In this talk, I will present these projects and discuss how they contribute to navigating the continuously shifting landscape of attention management.

Organizers: College of Intelligent Computing & Artificial Intelligence Research Center

※ No registration needed.