Course Syllabus
Edit: Current Guest Lecture Schedule
- November 14, Jim Agutter, Design Research
- November 19, Erik Brunvand, New Media Art
- November 21, Rogelio E. Cardona-Rivera, Games Research & HCI
- November 26, Eliane Wiese, CS Education and Educational Technology Research
- November 28, Sarah Hope Creem-Regehr, Cognition, Perception, and VR
Edit: Pages (also available via Canvas menu)
Overview
This course provides an introduction to major topics in Human-Computer Interaction (HCI) research. The course is primarily based on a combination of:
- Reading research papers
- Discussion
- Lecture
- Small and large projects (some individual, some group)
- Guest lectures
In general we will be seeking to gain an increased understanding of HCI research contributions, methods, and focus areas. The purpose of this course is to provide a combination of practical and theoretical knowledge. The course readings will include a combination of historic framing papers and more current results.
Example topics include:
- Experimental design and analysis
- Qualitative analysis methods
- Quantitative analysis methods
- Designing and conducting interviews and surveys
- Usability testing
Coursework will include:
- Short written analyses of the readings
- Small projects (e.g., 1 week long)
- Larger projects (e.g., 3-4 weeks)
- An exam
Edit:
As a further breakdown of project types (expected percentage of project grade, individual versus group), please see the below. We reserve the right to make changes. The grade percentages below are the percentages of the Projects grade, which is 60% of the total grade for this course. Percentages that you see on Canvas assignments are .6*the percentages below. (e.g., the CITI training is 2.4% of your total course grade).
- CITI Training (4% of total Project grade, individual)
- Think-Aloud (8%, individual)
- Heuristic Evaluation (7%, individual)
Pick a research problem:
- Literature Review (12%, group)
- Interviews / Interview Transcription (14%, group)
- Questionnaire Design + Deploy Questionnaire (14%, group)
- Thematic Analysis + Writeup (25%, group)
- Statistics Lab (16%, individual)
Course Staff
Instructor: Tamara Denning (tdenning@cs.utah.edu - use Canvas messaging for course messages)
Office: MEB 3446
Office Hours: Wednesday 4:30PM-5:30PM
TA: Ahmad Alsaleem
Hours: Monday 2-3PM
Location: TA lab @ 4150
Course Details
Class Time: Monday and Wednesday, 3:00PM-4:20PM
Location: WEB L120
Prerequisite: None
Textbook: There is no required textbook. There will be posted readings.
Policies
- SoC policies: http://www.cs.utah.edu/socguidelines/
- CoE policies: https://www.coe.utah.edu/semester-guidelines
Late Policy
Reading analyses will not be accepted late. Edit: In general, participation will not be accepted late either (e.g., presenting a paper in class or an in-class activity). Other assignments, unless noted otherwise, receive 10% off for every day they are late.
Incomplete
University Policy states that an Incomplete grade may only be given when there has been a circumstance “beyond the student’s control,” (e.g., a death in the family, a serious accident, or a serious illness) and the student has completed 80% of the course requirements.
Academic Accommodations
The University of Utah is committed to the opportunity for success and equal access. Please let me know as soon as possible if you need any academic accommodations.
Inclusivivity
It is our intent that students from all diverse backgrounds and perspectives be well-served by this course, that students' learning needs be addressed both in and out of class, and that the diversity that the students bring to this class be viewed as a resource, strength and benefit. It is our intent to present materials and activities that are respectful of diversity: gender identity, sexuality, disability, age, socioeconomic status, ethnicity, race, nationality, religion, and culture.
We also expect students to treat others in the class, including the teaching staff, with the same level of respect.
Your suggestions on how we can make the course more inclusive and welcoming are encouraged and appreciated. You can give us feedback in person during office hours, or through our anonymous form.
We take incidents of discrimination, bias, and harassment seriously. We will file reports with the Office or Equal Opportunity, Affirmative Action, and Title IX (OEO) about such incidents. If you are unsure what differentiates free speech and professional behavior from discrimination, bias, and harassment we are happy to have an open, judgement-free, and confidential conversation with you, or refer you to the OEO.
U of U Inclusivity Statement
Center for Ethnic Student Affairs
LGBT Resource Center
American Indian Resource Center
Office of Equal Opportunity, Affirmative Action, and Title IX
Center for Student Wellness
Communications
We will assume that you regularly monitor your campus email and Canvas.
Grading
Grades in this course will be determined by:
- 20% Reading analyses
- 60% Projects
- 15% Exam
- 5% Participation
Much of the grading in this course is necessarily subjective. We will attempt to communicate expectations and feedback throughout the course, but it is your responsibility to communicate with us if you would like guidance in this regard.
Course Summary:
Date | Details | Due |
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