Yuan-Chi Tseng, Ph.D. / 曾元琦

About YC Award ProjectDesignPublicationEducation & Work TeachingService CXB Design Lab


Yuan-Chi Tseng is currently the Associate Professor of the Department of Industrial Design and Program Committee & Associate Professor (joint appointment) of the International Doctoral
Program in Principles and Implications of Mind Sciences of the Department of Psychology at National Cheng Kung University (Taiwan). He founded the Cognitive, eXperience & Behavior Design Lab (CXB Design Lab). With the multidisciplinary academic and research backgrounds in design, cognitive science, vision science, social and behavioral science, and computer science, his research interest is Human-Computer Interaction (HCI), User Experience (UX) & Design. His works focus on Technologically-Mediated Behavior Change, Interaction and Service Design, Adaptive Interaction and Computational Modeling, User Experience Measuring and Design, Human-Centric Information Visualization Design, HCI & UX Design Methods.

Before joining NCKU in 2010, He was a Rachel C. Atkinson postdoctoral fellow at Smith-Kettlewell Eye Research Institute (SKERI, USA) and a postdoctoral research associate in Human Factors Division, Psychology and Beckman Institute at the University of Illinois at Urbana Champaign (UIUC, USA). He received his PhD (2005-2009) with research focus on Cognitive Informatics and Interaction Design in the Informatics and Manchester Business School from University of Manchester (UK). He earned his B.S. and M.S. in Design at the National Cheng Kung University (Taiwan).

Yuan-Chi Tseng actively engages with HCI, UX & Design communities. He serves as Local Organization Co-Chair of MobileHCI 2019, Associate Chair of ACM CHI 2018, 2017, Program Co-Chair of TAICHI 2018, 2017, 2016, Publicity Co-Chair of OzCHI2016, and Program Board of Cross-Cultural Design in HCI International 2018, 2017, 2016. He is currently the Supervisor of the Taiwan Association of Computer-Human Interaction; ACM SIGCHI Taipei Chapter, and the Director of Taiwan Institute of Kansei.

He is also highly engaging in serving as reviewer/jury for several HCI related international conferences, such as ACM's CHI, SIGGRAPH, CSCW, Chinese CHI, HCI International, and DeSForM, and scholarly journals, such as International Journal of Human-Computer Studies, Cognitive Science, Frontiers in Human Neuroscience, and etc.

Multidisciplinary Background
I have following formal academic backgrounds:

  • Design — BS, MS, NCKU (Taiwan)
  • Cognitive Informatics & Interaction Design, MBS — PhD, University of Manchester (UK)
  • Human Factors & Psychology — Post-Doc, University of Illinois at U-C (USA)
  • Vision Science — RCA Research Fellow, SKERI (USA).

Together with these backgrounds, my research focuses on

Human-Computer Interaction, User Experience and Service: Science & Design

  • HCI and Service: Science and Design: From understanding people based on HCI reserach methods to adopting service design and design methods and tools to design interaction and implement services that happen across the entire user journey to create new experiences, provide higher value and help people to achieve their goals in life.
  • User Experience and Service Design: Thinking, Method and Practice: Study and develop innovative service design thinking and methods to facilitate interdisciplinary team collaboration in the design of service systems. Use new approaches to foster the creation and co-creation of unprecedented experiences and the envisioning and demonstration of futures of the service. Adopt qualitative and quantitative methods to effectively understand user experience and design interactions in the highly complex service environments involving people and technologies. Enrich people’s sensory repertoire and deepen the meaning attached to service through design by allowing for poetry, reciprocity and seduction in relation to the designed service.
  • Designing Service System for Impact: Combine behavioral science, intelligent technology, socio–technical systems and design to provide service to encourage positive behavior, such as health behavior, and pro-environmental and social behavior, and social change. For example, to study the processing characteristics of human visual system and visual attention to design better information visualization to highlight the underlying values of information, and promote adaptive decision making and behavioral change. Moreover, explore new ways of combining information technology with cognitive science to create service systems for humans in everyday life. Combine machine intelligence and people–centric sensing technology with design, context–aware systems, adaptation and personalization to advance the application of service to assist humans to achieve higher life goal.
  • Adaptive Interaction to Utility, Ecology and Design: Adopt computational models, quantitative and qualitative methods to study adaptive decision making and interaction with service systems, technologies and robots. Create and co-create interactive, responsive, self-developed systems and environments that help people adapt to their decisions to optimize their behavioral and life utility.

My research interests focus on how external triggers and internal outcomes (rewards or valence - attractiveness and aversiveness) associated with past interaction experience in a task context affect the way people interact with current tasks and study how people decide to act in their daily activities to achieve their life goals. I also study the limits that social and cognitive mechanisms (e.g. vision systems), and technologies impose on adaptation by computational modeling, lab study, field study, quantitative and qualitative approaches. And, accordingly designing interactive systems, technologies, services and information visualization based on these understandings to augment human cognition, improve human experience and promote behavioral and social change.

I have adopted computational modeling and quantitative approaches to studying human interaction with technology and visual information. Behavioral experiments and computational models of interaction based on the bounded rationality are used to explore human behavioral adaptation in a control but ecological valid environment to unveil how prior experience (memory) and expectations of reward in a task mediate the strategies people interact with a system (Howes, Duggan, Kalidindi, Tseng, & Lewis, 2015; Hu, Tseng, Winkler, & Li, 2011, 2012, 2014; Tseng, 2009; Tseng, Glaser, Caddigan, & Lleras, 2011, 2014; Tseng, Glaser, & Lleras, 2010; Tseng & Howes, 2008, 2009, 2015; Tseng & Li, 2004, 2009; Tseng & Lleras, 2010, 2013). My aim is to explain and predict the behavior change found in people’s daily life, as adaptation to task, technology environment and cognitive constraints. Such an explanation could underpin the redesign of the reward scheme and task environment of interactive technologies to satisfy the condition and change the expected utility, and then drive the change of the according behavior in real life context. Moreover, input the behavioral date from ubiquitous monitoring to cognitive model of bounded optimal adaptation, the interactive technologies can provide moment based scheme for people to gradually adapt each tiny step and to achieve long-term life goal eventually.

I use and investigate the qualitative methods and in-situ field study to elicit people’s needs, motivation and intention, and challenges and constraints behind people’s everyday behavioral decision in the task in everyday context and how the utility (motivation/constraints) of everyday living, drives current individual’s behavioral choice. The key principles of the observation and survey in field study are based on theories related to behavioral change. I also use these field studies to motivate quantitative studies mentioned above.

I also study the design methods for human-computer interaction and user experience so as to facilitate interdisciplinary collaboration to create innovative information systems and applications for facilitating positive user experience and behavioral change. The goal is to provide new design methods and tools to facilitate inter-disciplinary team, including technology, design and social science background, to collaboratively searching for new and novel creative solutions to problems in people’s everyday life. Creating great designs for people's everyday lives often requires knowing the desires of people found in social and behavioral sciences, the technical feasibility and business viability and sustainability. I investigate the way to improve collaborative behavior in creative problem-solving, such as how to improve the level of common-sense and empathetic mind set, and facilitate later collaborative behavior to improve creative problem-solving in design project.

Together with international researchers in psychology, computer science and information engineering, social science, management and design, I have done researches and design practices emphasizing on either field study with qualitative method and lab experiment with quantitative method and computational modeling. Facing design problems, I often start from understanding people’s motivation and challenges of everyday lives either by qualitative methods or computational modelling, and to examine hypothesis and design alternatives and evaluate prototypes with lab experiments, and then to examine the effect and impacts of the novel technologies in real context to be sure that the technology intervention adequately affects people’s lives.



Yuan-Chi Tseng

Local Organization Co-Chair, Mobile 2019.

Associate Chair, ACM CHI 2018, 2017

Program Co-Chair, TAICHI 2018,17, 16

Program Board, Cross-Cultural Design as Part of HCI International 2018, 17, 16

Supervisor, Taiwan Association of Computer-Human Interaction (台灣人機互動學會); ACM SIGCHI Taipei Chapter

副教授 | 工業設計 | 國立成功大學
Associate Professor
Department of Industrial Design
National Cheng Kung University

Office: 成大大成館2F 5200
Phone: 886-6-275-7575 ext 54335

Founder & Director
Cognition, eXperience & Behavior (CXB) Design Lab (認知、經驗與行為設計研究室)