Yuan-Chi Tseng is a Professor of Human-Centered AI Design in the AIMS Fellows Program, an intercollege executive master’s program for smart manufacturing, and Dean of Tsing Hua Residential College  at National Tsing Hua University (NTHU), where he develops platforms and programs that foster student-led interdisciplinary collaboration, innovation, and self-directed learning. His work is grounded in Human-Centered AI, bringing together design, informatics, psychology, and artificial intelligence to address real-world challenges in healthcare, education, organizational collaboration, and smart manufacturing. Across these domains, he examines how emerging technologies can be designed to support human understanding, participation, agency, and responsible action.

His research asks how AI systems can be designed to collaborate with people in meaningful, responsible, and intelligible ways. Rather than treating AI as a purely automated tool, his work examines AI as part of hybrid intelligence systems, where humans, AI agents, data systems, organizations, and social contexts jointly shape decisions, actions, and responsibilities. Across domains such as digital health, smart manufacturing, education, and collaborative work, his research investigates how AI can support human judgment, coordination, creativity, and accountability in real-world settings.

Through the inclusive inter-intelligence Design Lab (iiiD-Lab), his work adopts design-driven and interdisciplinary approaches to investigate Human-Centered Artificial Intelligence (HCAI). The lab focuses on core concepts such as human-in-the-loop design, hybrid intelligence, agency, ownership, appropriate trust, responsibility allocation, and multi-agent collaboration. Across projects, the goal is to design AI systems that support human understanding, decision-making, collaboration, and accountability, while enabling more responsible interaction across different forms of intelligence.

Three interconnected research directions

1. Human-Centered AI Design
   This research direction investigates how AI systems can be designed to support human decision-making rather than replace human judgment. It focuses on how people understand AI-generated information, intervene in AI-mediated processes, calibrate trust, and remain active decision-makers when working with intelligent systems. Key topics include human-in-the-loop design, appropriate trust, role allocation, explainability in use, and responsibility-oriented human–AI collaboration.

1. Human-AI Interaction with Agents and Multi-Agent Collaboration
   This research direction examines how AI agents, particularly LLM-based conversational agents, mediate communication, collaboration, and co-creation among people. It explores how single-agent and multi-agent systems can take on differentiated roles across organizational, healthcare, educational, and smart manufacturing contexts. It also investigates how people understand, trust, question, and coordinate with multiple AI agents working together. This work contributes to the design of AI-mediated interaction patterns that support collaborative work, shared understanding, and human decision-making.

1. AI-Driven Digital Health
   This research stream explores how AI agents can be designed and deployed in healthcare and medical service contexts to support personal health management, patient–clinician communication, and collaborative clinical care. It emphasizes human-centered, culture-sensitive, and responsibility-aware design, with attention to real-world usability, interpretability, ethical accountability, and social impact. Rather than focusing on technical performance alone, this work examines how AI can be integrated into care relationships, clinical workflows, and everyday health practices.

Across these directions, Tseng’s work is guided by a central question: not only how much AI can do, but how AI should be designed to collaborate with humans in ways that strengthen understanding, responsibility, innovation, and social wellbeing. His work emphasizes that AI technologies should serve human values, support organizational and social innovation, and improve the quality of human and collective decision-making.

Academic Leadership, Education, and Scholarly Services

Through his academic and educational roles, Yuan-Chi Tseng contributes to the development of interdisciplinary learning environments grounded in human-centered values. As Dean of Tsing Hua Residential College, he helps integrate innovation, academic exploration, social connection, and residential life to support students’ interdisciplinary thinking, global awareness, and social responsibility.

He also serves as Convener of the Innovative Design Program and Admissions Committee Convener for the Innovative Design Group of the Tsing Hua Interdisciplinary Program. In these roles, he contributes to the development of design-oriented, interdisciplinary, and human-centered AI education across National Tsing Hua University.

Alongside his educational and administrative roles, He maintains a strong record of scholarly contribution across multiple fields. His interdisciplinary academic background spans design, the humanities and social sciences, interactive technology, and scientific research. His work has been published in leading international journals and conferences in areas including digital health, human-computer interaction, artificial intelligence, experimental and cognitive psychology, behavioral neuroscience, medicine, neurology, and educational science.

His research and service have been recognized with numerous honors, including the Excellent Research Award (2026), the Distinguished Research Award (2025) from the Tsing Hua Talent Development Fund in 2025, Sigma Xi Full Membership (2024) from Sigma Xi, The Scientific Research Honor Society, the ACM CSCW 2023 - The Recognitions for Contributions to Diversity and Inclusion Award in 2023, the Wu Ta-You Memorial Award (2017.11) from the National Science and Technology Council in 2017, and multiple Best Paper/ Poster Awards  at TAICHI and other HCI and design conferences.

He serves as Senior Editor of the International Journal of Human-Computer Studies (IJHCS) (2025.1~present), after previously serving as Associate Editor (2023.06~2025.12). His academic career has developed across multiple disciplines and international contexts, including prior appointments as Visiting Professor at the UCL Interaction Center (UCLIC), University College London (2023.2~2023.8) ; jointly appointed faculty member in Industrial Engineering and Engineering Management, NTHU (2019.8), Associate Professor in Service Science at NTHU (2018.8~2024.1); Assistant and Associate Professor in Industrial Design at National Cheng Kung University (2011.8~2018.8); Rachel C. Atkinson Postdoctoral Fellow in visual cognitive science at the Smith-Kettlewell Eye Research Institute;(2010~2011); Postdoctoral Researcher in Psychology at the University of Illinois Urbana-Champaign (2008~2010) and Visiting Scholar at the Yale School of Medicine in Professor Chiang-Shan Ray Li ’s lab (2010).

Design Philosophy

Yuan-Chi Tseng’s design philosophy draws on perspectives, knowledge, and methods from technology and engineering, the humanities and social sciences, and art and design. His work seeks a harmonious integration of truth, goodness, and beauty, treating design not merely as problem-solving, but as a reflective and ethical practice that shapes how technologies meaningfully coexist with human life and society.