Empirical Research Methods for Human-Computer Interaction
In this two-session course, attendees will learn how to conduct empirical research in human-computer interaction (HCI). This course delivers an A-to-Z tutorial on designing a user study and demonstrates how to write a successful CHI paper. It would benefit anyone interested in conducting a user study or writing a CHI paper. Only general HCI knowledge is required.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
How to Write CHI Papers -- Second Edition
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
How to Write CHI Papers -- Second Edition
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Crowdsourcing vs Laboratory-Style Social Acceptability Studies? Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Introduction to Human-Computer Interaction
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Kaleidoscope: A Reflective Documentation Tool for a User Interface Design Course
CHI '23· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Designing a Data-Driven Survey System: Leveraging Participants' Online Data to Personalize Surveys
CHI '24· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Patterns of Hypertext-Augmented Sensemaking
UIST '24· User Research Methods (Interviews, Surveys, Observation) +1
- 80%
Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task
CHI '20· User Research Methods (Interviews, Surveys, Observation) +1
- 80%
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation
CHI '26· Participatory Design +2
- 80%
Cultural Clash: Exploring How Studio-Based Pedagogy Impacts Learning for Students in HCI Classrooms
DIS '20· Collaborative Learning & Peer Teaching +2
Based on Jaccard similarity of research subtopics & professions (≥60%)