Human-Computer Interaction Tutorial Forum
August 22 (Friday) 3:30 PM-5:30 PM
Location: Shenzhen Hall, 3rd Floor

Guest Profiles

Fan Mingming

Hong Kong University of Science and Technology, Guangzhou

Introduction:
       I am currently a tenured associate professor and doctoral supervisor in the Computational Media and Arts and Internet of Things disciplines at the Hong Kong University of Science and Technology, Guangzhou, and a joint associate professor in the Department of Integrated Systems and Design. I received my PhD in Computer Science from the University of Toronto. My research focuses on intelligent human-computer interaction, with key research interests including: 1) Accessible Computing (for the elderly and people with disabilities); 2) Human-AI Interaction; and 3) Virtual and Augmented Reality (VR/AR/MR). He has published over 80 papers in China Computer Federation (CCF) recommended Category A (CCF A) journals and conference papers, and has received 10 international paper awards, including four "Best Paper Awards" and "Best Paper Honorable Mention Awards" from the top human-computer interaction conference CHI, four "Best Paper Honorable Mention Awards" from ACM Multimedia, and one "Best Paper Honorable Mention Award" from UbiComp. He has long served in the human-computer interaction community both domestically and internationally, serving as chair of a CHI subcommittee, a judge for paper awards at IMWUT and CSCW, an executive member of the Human-Computer Interaction Committee of the China Computer Federation, and a member of the Rehabilitation Engineering and Assistive Devices Technology Committee of the China Association of Rehabilitation of Persons with Disabilities.

 

Report Title: A Brief Discussion on the Opportunities and Challenges of Human-Computer Interaction Research in a Converging Discipline

 

Report Introduction: 

        Human-computer interaction (HCI) is an interdisciplinary and integrated discipline, bringing together research methods and scholars from multiple disciplines, including computer science, engineering (such as human factors engineering, robotics, mechanical engineering, and new materials), design, psychology, cognitive science, and sociology. The research questions covered in papers presented at the top HCI conference, CHI, are increasingly diverse. This interdisciplinary and diverse nature of the discipline provides a wealth of research questions for scholars conducting HCI research in universities, while also necessitating interdisciplinary collaboration. This lecture will explore new opportunities and challenges in HCI by exploring the practices and challenges of HCI research at a converging discipline university.

Zhang Tengxiang

 Goertek

Introduction:
        Zhang Tengxiang is a senior technical expert in intelligent interaction at Goertek's Alpha Labs and an executive member of the CCF Human-Computer Interaction and Ubiquitous Computing Committee. Dr. Zhang's research focuses on human-centered ubiquitous interaction technologies, including smart wearable devices, low-power sensing technologies, and mixed reality interaction systems. He has published over 20 papers in conference journals such as CHI and IMWUT and has been granted six patents. Dr. Zhang has served as the project leader for projects and sub-projects within the National Key R&D Program, and as the project leader for the National Natural Science Foundation of China's Young Scientists Fund. He possesses an interdisciplinary background in computer science, electronics, and biomedicine. He was formerly an associate researcher at the Institute of Computing Technology, Chinese Academy of Sciences, and has experience in the semiconductor and consumer electronics industries.

 

Report Title: A Brief Discussion on Career Development in Human-Computer Interaction

 

Report Introduction:

        Human-Computer Interaction (HCI), an interdisciplinary field that integrates computer science, psychology, design, and engineering, offers highly diverse career paths. Drawing on my academic research and industry experience, I believe that the HCI field requires both a deep understanding of technical details and a keen insight into user needs and experiences. In the early stages, it's particularly important to deeply master foundational skills such as perception, interaction design, and system implementation. In the mid-term, this can extend to product definition, user research, or algorithm optimization. In the mature stage, HCI professionals often serve as a bridge, promoting technology implementation and collaborative innovation. HCI career development should emphasize cross-disciplinary collaboration, continuous learning, and problem-oriented practical skills.

Gong Jiangtao

 Tsinghua University

Introduction:
        Assistant Professor at the Institute of Intelligent Industries, Tsinghua University, and Director of the Human-Intelligence Interaction Program. Dr. Gong Jiangtao was formerly a Senior Researcher at Lenovo Group Research Institute's Technology Strategy and Innovation Incubation Platform, responsible for research on intelligent system interaction technologies, humanoid agents, and cognitive and affective computing. Dr. Gong Jiangtao primarily conducts research on intelligent systems for cognitively intensive activities such as learning, working, and driving, drawing on the interdisciplinary integration of computer information science, cognitive behavioral science, and cognitive neuroscience. He has served as project leader and task leader for numerous research projects, including those from the Beijing Municipal Government, the Ministry of Science and Technology, and the Ministry of Industry and Information Technology. He has published over 50 papers at leading conferences and journals in computer and cognitive science, and has been granted over 20 domestic and international invention patents.

 

Report Title: Cognitively Enhanced Humanoid Agents

 

Report Introduction:  

        As artificial intelligence advances toward generalization, building intelligent agents with human-like cognitive capabilities has become a key challenge. Cognitive enhancement is not only the inevitable path to improving AI performance but also the foundation for achieving deep collaboration between human intelligence and intelligence. This presentation will explore the intersectional integration of cognitive science and artificial intelligence, and explore how to draw on human cognitive mechanisms to optimize intelligent system design. We propose an enhancement approach that leverages both data-driven and theoretical modeling approaches. We mine cognitive patterns through cognitive and behavioral data, while simultaneously building computational cognitive models to guide system optimization, providing a systematic solution for enhancing the cognitive capabilities of humanoid agents.

An Pengcheng

 Southern University of Science and Technology

Introduction:
        Currently an Assistant Professor at Southern University of Science and Technology. A scholar at the intersection of design and human-computer interaction, he explores untapped real-world application opportunities for emerging technologies like artificial intelligence and the Internet of Things by designing and building interactive systems. He received his doctorate from Eindhoven University of Technology in the Netherlands and conducted postdoctoral research in the Netherlands and Canada. His work has received numerous peer-reviewed awards, including an ACM CHI Best Paper nomination and an INTERACT Reviewer's Choice Award. His current research explores human-intelligence interaction systems for classroom teaching and art therapy.

 

Report Title: Designing Human-Intelligence Interaction for Smart Education and Mental Well-being

 

Report Introduction:

        In recent years, artificial intelligence has shown broad application prospects in key social sectors such as education and mental health. This report will focus on smart education and art therapy, introducing the speaker team's design and development cases and empirical research insights in these fields. The report will explore human-intelligence interaction systems for the aforementioned application scenarios from multiple perspectives, including interactive innovation, technological integration, and real-world deployment, as well as the key challenges and opportunities currently facing research.