Required Reading List (Fall 2022)

This class has two reading lists: a list of required readings, and a list of recommended readings. The required readings will be useful to your assignments and projects, and will also be tested more explicitly on the two course tests. The recommended readings are more generally foundational books, papers, and courses on HCI in general.

Required Reading List

On average, you can expect to spend 1 to 2 hours reading per week. The topics of these papers fall into two categories: some are thorough, retrospective overviews of decades of HCI research; some are foundational, seminal works in the field of HCI; and some are cutting-edge research from the most recent HCI-related conferences and journals.

The information contained in these readings will be useful as you complete your assignments and projects, but it will also be tested explicitly on the course tests. Ten questions on each test will be based on these readings. From the perspective of the test, your emphasis in reading these papers should be in getting a sufficient understanding of the material to answer high-level questions about the paper, as well as to be able to find answers quickly for more specific questions.

Note that the weeks in this list represent the week of content most relevant to the listed readings. However, we know that there will be weeks when you are busier than others, and you may not be able to complete a week’s readings during that particular week. The only assessments dependent on having completed these readings are the tests, so you need only worry about completing the readings by the date of the next test.

We recommend reading How to Read an Academic Paper from CS6460 to better understand how to fit some of these readings into our estimated 1-2 hours per week.

Week 1: Foundations of HCI	MacKenzie, I.S. (2013). Chapter 1: Historical Context. Human-Computer Interaction: An Empirical Research Perspective. (pp. 1-26). Waltham, MA: Elsevier. Norman, D. (2013). Chapter 1: The Psychopathology of Everyday Things. In The Design of Everyday Things: Revised and Expanded Edition. (pp. 1-36). Arizona: Basic Books.
Week 2: Principles and Feedback Cycles	Norman, D. A. (1986). Cognitive engineering. In D. A. Norman & S. W. Draper (Eds.) User-Centered System Design: New Perspectives on Human-Computer Interaction. (pp. 32-61). Hillsdale, NJ: Lawrence Erlbaum Associates. Norman, D. (2013). Chapter 2: The Psychology of Everyday Actions. In The Design of Everyday Things: Revised and Expanded Edition. (pp. 37-73). Arizona: Basic Books.
Week 3: Research Ethics and Needfinding	MacKenzie, I.S. (2013). Chapter 4: Scientific Foundations. Human-Computer Interaction: An Empirical Research Perspective. (pp. 121-152). Waltham, MA: Elsevier. Müller, H., Sedley, A., & Ferrall-Nunge, E. (2014). Survey research in HCI. In J. Olson & W. Kellogg (Eds.) Ways of Knowing in HCI (pp. 229-266). New York: Springer.
Week 4: Invisible Interfaces and Human Abilities	MacKenzie, I.S. (2013). Chapter 2: The Human Factor. Human-Computer Interaction: An Empirical Research Perspective. (pp. 27-66). Waltham, MA: Elsevier. Hutchins, E. L., Hollan, J. D., & Norman, D. A. (1985). Direct manipulation interfaces. Human–Computer Interaction, 1(4), 311-338.
Week 5: Design Alternatives	Faste, H., Rachmel, N., Essary, R., & Sheehan, E. (2013, April). Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1343-1352). ACM. Yang, M. C. (2009). Observations on concept generation and sketching in engineering design. Research in Engineering Design, 20(1), 1-11. Rogers, Y., Sharp, H., & Preece, J. (2011). Chapter 6: The Process of Interaction Design. In Interaction Design: Beyond Human-Computer Interaction. John Wiley & Sons.
Week 6: Mental Models and Representations	MacKenzie, I.S. (2013). Section 3.4: Mental Models & Metaphor. Human-Computer Interaction: An Empirical Research Perspective. (pp. 88-92). Waltham, MA: Elsevier. MacKenzie, I.S. (2013). Section 3.8: Interaction errors. Human-Computer Interaction: An Empirical Research Perspective. (pp. 111-116). Waltham, MA: Elsevier. Norman, D. (2013). Chapter 5: Human Error? No, Bad Design. In The Design of Everyday Things: Revised and Expanded Edition. (pp. 162-216). Arizona: Basic Books. Mander, R., Salomon, G., & Wong, Y. Y. (1992, June). A “pile” metaphor for supporting casual organization of information. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 627-634). ACM.
END OF MATERIAL FOR TEST 1
Week 7: Prototyping	Houde, S., & Hill, C. (1997). What do prototypes prototype? In M. Helandar, T.K. Landaeur, & P. Prabhu (Eds). Handbook of Human-Computer Interaction, 2. (pp. 367-381). Elsevier Science. Beaudouin-Lafon, M., & Mackay, W. (2003). Prototyping tools and techniques. Human Computer Interaction-Development Process. (pp. 101-142).
Week 8: Context and Distributed Cognition	Hutchins, E. (1995). How a cockpit remembers its speeds. Cognitive Science, 19(3). (pp. 265-288). Nardi, B. (1992). Studying context: A comparison of activity theory, situated action models and distributed cognition. In B. Nardi (Ed.) Context and Consciousness: Activity Theory and Human-Computer Interaction. (pp. 35-52). MIT Press.
Week 9: Experiments and Evaluation	MacKenzie, I.S. (2013). Chapter 5: Designing HCI Experiments. Human-Computer Interaction: An Empirical Research Perspective. (pp. 157-188). Waltham, MA: Elsevier. Nielsen, J., & Molich, R. (1990, March). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249-256). ACM.
Week 10: Artifacts, Interfaces, and Politics	Winner, L. (1980). Do Artifacts Have Politics? In Daedalus 109(1). (pp. 121-136). MIT Press. Cowan, R. S. (1976). The “industrial revolution” in the home: Household technology and social change in the 20 century. Technology and Culture 17(1). (pp. 1-23). Johns Hopkins University Press. Friedman, B., Kahn Jr, P. H., Borning, A., & Huldtgren, A. (2013). Value Sensitive Design and Information Systems. In P. Zhang & D. Galletta (Eds.) Human-Computer Interaction in Management Information Systems: Foundations. New York: M.E. Sharpe, Inc.
Week 11: Evaluation and Agile Development	Polson, P. G., Lewis, C., Rieman, J., & Wharton, C. (1992). Cognitive walkthroughs: a method for theory-based evaluation of user interfaces. International Journal of Man-Machine Studies, 36(5). (pp. 741-773). Wania, C. E., Atwood, M. E., & McCain, K. W. (2006, June). How do design and evaluation interrelate in HCI research? In Proceedings of the 6 Conference on Designing Interactive Systems. (pp. 90-98). ACM. Chamberlain, S., Sharp, H., & Maiden, N. (2006). Towards a framework for integrating agile development and user-centered design. In Proceedings of the 4 International Conference on Extreme Programming and Agile Processes in Software Engineering. (pp. 143-153). Springer.
Week 12: Best of CHI 2022	Fender, A. R. & Holz, C. (2022). Causality-preserving Asynchronous Reality. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Kim, J., Choi, Y., Xia, M., & Kim, J. (2022). Mobile-Friendly Content Design for MOOCs: Challenges, Requirements, and Design Opportunities. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Lustig, C., Konrad, A., & Brubaker, J. R. (2022). Designing for the Bittersweet: Improving Sensitive Experiences with Recommender Systems. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Gordon, M., Park, J. S., Hancock, J., Bernstein, M. S., Lam, M. S., Patel, K., & Hashimoto, T. (2022). Jury Learning: Integrating Dissenting Voices into Machine Learning Models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Seberger, J. S, Swiatek, E., Shklovski, I. & Patil, S. (2022). Still Creepy After All These Years: The Normalization of Affective Discomfort in App Use. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Zhang, W. & Lim, B. Y. (2022). Towards Relatable Explainable AI with the Perceptual Process. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Elsden, C., Duggan, M., Thornton, P., Chatting, D. & Dwyer, A. C. (2022). Zoom Obscura: Counterfunctional Design for Video-Conferencing. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems.
Week 13: Best of Georgia Tech HCI	Liu, Z., Nersessian, N., & Stasko, J. (2008). Distributed cognition as a theoretical framework for information visualization. IEEE Transactions on Visualization and Computer Graphics, 14(6). (pp. 1173-1180). Kidd, C., Orr, R., Abowd, G., Atkeson, C., Essa, I., MacIntyre, B., Mynatt, E., Starner, T. & Newstetter, W. (1999). The aware home: A living laboratory for ubiquitous computing research. In N. Streitz, S. Konomi, & H. Burkhardt (Eds.) Cooperative Buildings: Integrating Information, Organizations, and Architecture (pp. 191-198). Hu, A., Chancellor, S., & De Choudhury, M. (2019). Characterizing Homelessness Discourse on Social Media. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-6). Kozubaev, S., Rochaix, F., DiSalvo, C., & Le Dantec, C. (2019). Spaces and Traces: Implications of Smart Technology in Public Housing. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. Deeb-Swihart, J., Endert, A., & Bruckman, A. (2019). Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. Shahmiri, F., Chen, C., Waghmare, A., Zhang, D., Mittal, S., Zhang, S., Wang, Y., Wang, Z., Starner, T., & Abowd, G. (2019). Serpentine: A Self-Powered Reversibly Deformable Cord Sensor for Human Input. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. Wong-Villacres, M., Kumar, N., & DiSalvo, B. (2019). The Parenting Actor-Network of Latino Immigrants in the United States. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. Joyner, D. (2019). The CHI of Teaching Online: Blurring the Lines Between User Interfaces and Learner Interfaces. In E. Kapros & M. Koutsombogera (Eds.) Designing for the User Experience in Learning Systems, Human-Computer Interaction Series. Springer.
END OF MATERIAL FOR TEST 2

Books

The following books are seminal HCI literature and could be read in parallel to any course material.

The Design of Everyday Things by Don Norman
The Inmates Are Running the Asylum by Alan Cooper
Human-Computer Interaction by Alan Dix, Janet Finlay, Gregory Abowd, and Russell Beale
Interaction Design: Beyond Human-Computer Interaction by Yvonne Rogers, Jelen Sharp, and Jenny Preece
Designing with the Mind in Mind by Jeff Johnson
Observing the User Experience: A Practitioner’s Guide to User Research by Elizabeth Goodman, Mike Kuniavsky, and Andrea Moed
Research Methods in Human-Computer Interaction by Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser
Understanding Your Users: A Practical Guide to User Requirements Methods, Tools, and Techniques by Catherine Courage and Kathy Baxter
Tools for Thought by Howard Rheingold

Papers

In addition to these books, there are several excellent readings that complement specific lessons or concepts from HCI. Many of these papers will be discussed during those lessons, but we have also provided a list of recommended papers and their corresponding lessons and topics. Where available, links go to the paper; if a link is not available, you should be able to locate the paper through the Georgia Tech library or, if noted, the Files folder on Canvas.

Courses

There are also a number of high-quality courses offered by other instructors and institutions that may be of interest to further developing your knowledge of HCI.

Intro to Design of Everyday Things from UC-San Diego’s Don Norman (on Udacity)
Introduction to User Experience Design from Georgia Tech’s Rosa Arriaga (on Coursera)
UX Design from the University of Michigan’s Mark Newman (on EdX)
Interaction Design Specialization from UC-San Diego’s Scott Klemmer, Elizabeth Gerber, and Jason Wobbrock (on Coursera)
UI Design Specialization from the University of Minnesota’s Lana Yarosh, Haiyi Zhu, Loren Terveen, Joseph Konstan, and Brent Hecht
UX Design for Mobile Developers, Rapid Prototyping, and Product Design from Google (on Udacity)
The Interaction Design Foundation, home to dozens of classes on interaction design

Required Reading List (Fall 2022)