This seminar covers methods for conducting research in human-computer interaction (HCI). These topics will be pursued through independent reading, assignments, and class discussion. The seminar comprises four assignments that not just apply HCI research methods but push the envelope of what has been done before. The assignments are designed to be meaningful and have the potential to be widely visible or to be published, and each student will participate in writing a group paper for one of the assignments. We will have readings that teach HCI research methods and provide examples of valuable contributions, sometimes reading reviews of those papers as they were evaluated for publication.
The goal of this course is to provide students with the background necessary to perform research in HCI and the skills required to conduct human-centric research. Students who take this course should have a particular interest in HCI research, or wish to learn fundamental skills that will help them with a user interface design or usability evaluation career. There will be little or no content in this course about interface design, but students will find other topics in CSCI 1300 (User Interfaces) relevant. Enthusiastic students who have not taken CSCI 1300 should have independently gained HCI experience or be a graduate student studying a related topic.
The prerequisite for this course is CSCI 1300: User Interfaces and User Experience. The course will be capped at about 20 students. The Collaboration Policy should be read and signed in class on January 29.
Instructor: Jeff Huang, 245 CIT, jeff at cs dot brown dot edu
4:30pm-7pm Wednesday at 241 CIT. Office hours by appointment with the instructor.
Total time spent in and out of class for this course is estimated at 180 hours. Over the 15 weeks of this course, students will spend 2 and a half hours in class each week (or 37.5 hours total). Although specific out-of-class time investments may vary for individual students, a reasonable estimate to support this course's learning outcomes is 145 total out-of class hours, or on average, about 10 hours weekly over a 15-week term. Out-of-class preparation will regularly include about 1-2 hours per class of reading and writing the comments addressing the reading (about 70 hours total). In addition to this ongoing preparation time, students are expected to allocate about 70 hours over the course of the term to writing the three assignments and final group paper.
Brown University is committed to full inclusion of all students. Please inform me early in the term if you have a disability or other conditions that might require accommodations or modification of any of these course procedures. You may speak with me after class or during office hours. For more information, please contact Student and Employee Accessibility Services at 401-863-9588 or SEAS@brown.edu. Students in need of short-term academic advice or support can contact the Dean of the College office.
(S)ocial Analysis Analyze how social relationships affect the messages sent and received.
(A)ugmented Reality Interaction Study through participatory design how users can comfortably interact in augmented reality.
Self-e(X)periment Design and perform a A/B-style experiment on yourself to see what affects your mood.
(C)rowdsourcing Try different crowdsourcing models for collecting data and validating a university faculty dataset.
Group (P)aper Work in a small group to extend one of the assignments into a research paper draft.
Readings should be done before class on the date a reading is due. For each reading, please write to the Slack channel a short novel comment (not a rephrase of what someone said earlier) about the research contribution/findings from the work, and a short novel comment about your assessment of the work/paper. Comments are encouraged to be in response to existing comments in the channel.
Assignments are due at the beginning of class on the date it is marked "in" in the schedule below, with a midpoint check-in on the dates marked "mid" where we'll discuss progress so far.
Grading is done solely by the instructor.
|Day||Topics / Reading Due||Assignment|
|Jan 22||Topic: What is HCI Research?
Keshav - How to Read a Paper
Brown - Five Provocations for Ethical HCI Research
|Jan 29||Topic: intent, normalization, regression, collinearity
Gilbert - Predicting Tie Strength With Social Media
|Feb 5||Topic: Single-case time/sequence-based behavior data
Ernala - Methodological Gaps in Predicting Mental Health States from Social Media: Triangulating Diagnostic Signals
|Feb 12||Topic: Aiming, endpoint prediction, experience prototyping
Rosenbaum - Human Motor Control Excerpt
Buchenau - Experience Prototyping
|Feb 19||Topic: experiment design (between- and within- subjects)
Lee - AutoGain: Gain Function Adaptation with Submovement Efficiency Optimization
|(S) in, (A) out|
|Feb 26||Topic: validity, intervention, causality
Losh - Reliability, Validity, Causality, And Experiments
Norvig - Warning Signs in Experimental Design and Interpretation
|Mar 4||Topic: analysis and comparisons
Dell - "Yours is Better!" Participant Response Bias in HCI
"Old reviewer guidelines"
|(A) in, (X) out|
|Mar 11||Gergle - Experimental Research in HCI (WOK)
Discussions from online (read in order)    
|Mar 18||Class cancelled|
|Mar 25||Spring Break|
|Apr 1||Topic: crowdsourcing
Bernstein - Soylent: a word processor with a crowd inside
Marcus - How I Learned to Stop Worrying and Love the Crowd
|(X) in, (C) out|
|Apr 8||Topic: design research
Zimmerman - Research Through Design as a Method for Interaction Design Research in HCI
Tohidi - Getting the Right Design and the Design Right: Testing Many Is Better Than One
|Apr 15||Topic: systems research, evaluation
Dixon - Prefab
Landay - I give up on CHI/UIST
|Apr 22||Odom - Slow Interaction Design|
|Apr 29||Topic: writing
Kostakos - The Big Hole in HCI Research
|(C) in, (P) out|