Research Methods in Human-Computer Interaction (RM in HCI)

This course focuses on a detailed overview of research methods in Human-Computer Interaction (HCI) and a hands-on experience from experimental design to statistical analysis of collected data. It includes surveys and diaries, case studies, interviews and focus groups, ethnography, usability testing, analyzing qualitative data, automated collection methods, sensor-based understanding the human, working with human subjects, as well as application-specific research methods (e.g., Research methods to evaluate AI+vehicle/energy/healthcare).

Instructors: Prof. SeungJun Kim (Main lecturer) & Dr. Ahmed Elsharkawy (Co-lecturer)

Year: 2026

Term: Spring

Course ID: AI6317-01

Time: Mondays and Wednesdays, 10:30-12:00 AM

Textbooks

  • “Research Methods in Human-Computer Interaction 2nd Edition” (by Jonathan Lazar, Jinjuan Heidi Feng, Harry Hochheiser), Elsevier, Morgan Kaufmann Publishers
  • “Innovating for People: Handbook of Human-Centered Design Methods” 1st Edition (by LUMA Institute)
  • Academic papers at ACM CHI, UIST, Ubicomp, VR, ISMAR Conferences in HCI domains

Grading

  • Homework: 30%
  • Proposal: 20%
  • Final Exam: 50%

Schedule

Week Description Note
1st

HCI Overview / LUMA Opening

2nd

Experimental Research

3rd

Experimental Design

4th

Ask the Users + Analyzing Qualitative Data

5th

Surveys, Goals, Target Users, Sampling Methods

6th

Measuring the Human

7th

Warm up, HCI Research Examples

8th

Prototype + Wizard-of-Oz Examples

9th

Mid Term, No Class / Homework Week

10th

Rapid Prototyping Tool (Practice, Unity)

11th

Working with Human Subjects (Practice, Participants in Human-Subject Experiments)

12th

Working with Research Participants With Disabilities

13th

Statistical Analysis (Practice, JASP)

14th

HCI Study Proposal / HCI Paper Readings or Reviews

15th

HCI Study Proposal / HCI Paper Readings or Reviews

16th

Final Term