This course focuses on research topics and methods in Human-Computer Interaction (HCI), particularly on developing appreciation for and expertise in different kinds of research contributions in HCI. In this course, we will cover a broad range of research topics and methods that are frequently studied and used to understand how people use technology, develop prototypes to explore novel ideas, and evaluate new systems in real-world settings.
For more information about this course, please refer to the syllabus through this link: https://docs.google.com/document/d/18gyTYvPVVFIwVFZIHQaS4j3Twu4-24Bc/edit

Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Research methods in human-computer interaction (2nd ed.). Morgan Kaufman Olson, J. S., & Kellogg, W. A. (Eds.). (2014). Ways of Knowing in HCI. New York, NY: Springer.

Week 1 History of HCI, HCI research contributions, and HCI paper structure
Week 2 HCI research process and Experiments
Week 3 Surveys and Statistical analysis
Week 4 Diaries, Case studies, Interviews, and Focus groups
Week 6 Ethnography and Community-based research
Week 7 Qualitative data analysis
Week 8 Subcommittee discussion (TBD)
Week 9 Design research and Usability testing
Week 10 Technical HCI research and Field deployments
Week 11 Eye tracking, motion tracking, and physiological tools
Week 12 Subcommittee discussion (TBD)
Week 13 Online communities
Week 14 Crowdsourcing and social media
Week 15 Research ethics & Research proposal presentation

Lectures, Assignments, Group discussion, and Group presentations Letter grade only