I am a Ph.D. candidate in the University of Michigan School of Information, advised by Dr. Mark S. Ackerman. My research primarily focuses on Human-Computer Interaction, Computer-Supported Cooperative Work, Ubiquitous Computing, and End-User Programming.
I am interested in designing systems to empower people in their everyday pursuits such as learning, social interaction, and health. The projects I have worked on have helped people to develop fine-motor skills, make life-changing health decisions, enhance interactions in knowledge-based online communities, and develop functional independence through privacy-aware sensor data sharing. For more project details, see here.
[New][Developing]I am interested in designing systems to empower people with unique backgrounds in their everyday pursuits such as health and hobbies, with the goal of improving social interaction and their quality of life. My approach to design seeks to develop insights on system design based on a solid understanding of people' lived experiences and existing systems' strength and weakness.
I employ different methods to study human experience in both digital and physical environments, such as analyzing browsing history, observing occupational therapy sessions, conduct co-design sessions with patients, and conducting semi-structured interviews to understand patients, caregivers, and clinicians' care-receiving and caregiving experiences.
Built on my understanding of the experiences of different stakeholders, I design, build, and evaluate interactive systems on desktop, mobile, and web platforms to explore the potentials of interactive systems to make people's everyday life better and exciting. I am privileged to have worked with domain experts such as software developers, occupational therapists, public health researchers, physicians, caregivers, and patients, to co-create better user experience.
I received BS and MS in Computer Science and Information Engineering from National Taiwan University, Taiwan, and a MS in Information from the University of Michigan. I am a member of the SocialWorlds research group and the Michigan Interactive and Social Computing (MISC) group.
- Methods: Semi-structured Interview, Usability Testing, Participatory Design, Co-Design, Field Observation, Heuristics Evaluation, Survey, Application Log Analysis
- Skills: JavaScript, React, NodeJS, Python, R, PHP, SQL, NoSQL (MongoDB), HTML, CSS, Qualtrics, Drupal
My major research interests include Human-Computer Interaction, Computer-Supported Cooperative Work, Ubiquitous Computing and End-User Programming. I am interested in designing systems or tools to support people with diverse background who live within a smart environment full of intelligent everyday objects, as it offers a complex and rich illustration of how technology could augment and improve the everyday interaction among people. I employ different methods to study human experience and devise implications for interactive system design. I design, build, and evaluate interactive systems to make people's everyday life better and exciting. I am privileged to have worked with domain experts such as software developers, occupational therapists, public health researchers, physicians, and patients, to understand and co-create better user experience.
More specifically, I am interested in designing systems to support people with diverse background who live within a smart environment full of intelligent everyday objects, as it offers a complex and rich illustration of how technology could augment and improve the everyday interaction among people. I employed different methods to study understand human experience and devise implicationos for system design. the intersection of communities and Ubiquitous Computing where people with diverse background live their lives within a smart environment full of intelligent everyday objects, as it offers a complex and rich illustration of how technology could augment and improve the everyday interaction among people.