Pei-Yao Hung
Human-Computer Interaction Researcher

Researcher and Builder

Empower People with Information and Smart Environment

peiyaoh@umich.edu,,
Resume, C.V., Google Scholar


About

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.

Methods I practice

Affinity WallApplication Log AnalysisBetween-Subject ExperimentCo-designComparative AnalysisContextual InquiryField ObservationField TestingFocus GroupHeuristic EvaluationInteraction MapParticipatory DesignPersonaPrototypingQuestionnaireScenarioSemi-structured InterviewStoryboardingSurveyThematic AnalysisUsability TestingUser Enactment
Technology I employ

ActionScriptAdobe FlashAdobe FlexAndroidAxureC#CSSGoogle AnalyticsHTMLIllustratorJavascriptNoSQLNodeJSOmnigrafflePHPPythonQualtricsRRFIDReactSQLiMoviescikit-learn
Background

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.


He has assisted in teaching graduate and undergraduate courses as a graduate student instructor (GSI) at the School of Information.