Monday sessions are the reading seminar; Friday sessions are research methods. Listed below are each week’s seminar topic and Friday methods topic, with readings in three tiers: Required (one or two items — read these before class), Recommended (worth reading if you can; class covers the key ideas), and Optional (for your project or further interest). Weekly assignments, discussion prompts, reading PDFs, and submissions are on Canvas.

Every reading links to its source: an open full text where one exists, otherwise the DOI. Textbook chapters link through the UW Libraries proxy and will ask for your NetID. Items still marked like this are TBD and will be finalized well before anything is required of you. Slide links are added as each lecture is finalized.

Week 1 Sep 2–4

Monday, Aug 31 / Sep 2

No class — instruction begins Wednesday, Sep 2.

Friday, Sep 4 — Intro to 770

The three strands & the AI-era framing

Preparation

None — this is the first meeting. Three readings are assigned today and due for Friday, Sep 11, where they are listed.

Slides: Intro to CS 770 (PDF)

Week 2 Sep 7–11

Monday, Sep 7

Labor Day — no class.

Friday, Sep 11 — Methods

What is HCI research? + Project kickoff

Required readings assigned Sep 4 · due today

  • Lazar, Feng & Hochheiser (2017), Research Methods in HCI, Ch. 1 — Introduction to HCI research. Ch. 1
  • Jonathan Grudin, “A Moving Target: The Evolution of Human-Computer Interaction,” in J. A. Jacko (ed.), The Human-Computer Interaction Handbook, 3rd ed., CRC Press, 2012, pp. xxvii–lxi — read at survey depth. PDF
  • Jacob O. Wobbrock & Julie A. Kientz, “Research Contributions in Human-Computer Interaction,” interactions 23(3), 38–44, 2016. doi:10.1145/2907069

Slides: What is HCI Research? + Project Kickoff (PDF)

Week 3 Sep 14–18

Monday, Sep 14 — Seminar

Foundations & Visions of HCI

Required readings

  • Vannevar Bush, “As We May Think,” The Atlantic, July 1945. [read]
  • J.C.R. Licklider, “Man-Computer Symbiosis,” IRE Transactions on Human Factors in Electronics, HFE-1, 4–11, 1960. [read] (NetID login)
  • Lucy Suchman, Plans and Situated Actions, Cambridge Univ. Press, 1987 — Introduction + Ch. 1. [read] (NetID login) (2nd ed., 2007 — reprints the 1987 text)
  • Don Norman, “Cognitive Engineering,” in User Centered System Design (Norman & Draper, eds.), Lawrence Erlbaum, 1986, 31–61. [read] (NetID login) (Section on “Toward a Theory of Action”)
  • Ben Shneiderman, “Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy,” Int. J. Human-Computer Interaction 36(6), 495–504, 2020. [read] (NetID login) doi:10.1080/10447318.2020.1741118
  • Douglas Engelbart, “Augmenting Human Intellect: A Conceptual Framework,” SRI Summary Report AFOSR-3223, 1962. [read]

Slides: Foundations & Visions of HCI (PDF)

Friday, Sep 18 — Methods

Choosing Methods + Research Ethics & IRB

Required

  • Joseph E. McGrath, “Methodology Matters,” in Readings in HCI: Toward the Year 2000, Morgan Kaufmann, 1995, 152–169. [read] (NetID login) doi:10.1016/B978-0-08-051574-8.50019-4
  • The Belmont Report, 1979. [read]

Recommended

  • Amy Edmondson & Stacy McManus, “Methodological Fit in Management Field Research,” Academy of Management Review 32(4), 1155–1179, 2007. [read] (NetID login) doi:10.5465/amr.2007.26586086
  • Lazar, Feng & Hochheiser (2017), Ch. 15 (Working with human subjects). Ch. 15

Optional

  • Amy Bruckman, “Research Ethics and HCI,” in Ways of Knowing in HCI, Springer, 2014, 449–468. [read] doi:10.1007/978-1-4939-0378-8_18
  • Lazar, Feng & Hochheiser (2017), Ch. 16 (on participants). Ch. 16

Slides: Choosing Methods + Research Ethics & IRB (PDF)

Week 4 Sep 21–25

Monday, Sep 21 — Seminar

Human-AI Interaction: Mixed-Initiative, Complementarity & Evaluation

Required

  • Fabrizio Dell’Acqua et al., “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality,” Organization Science 37(2), 403–423, 2026. doi:10.1287/orsc.2025.21838
  • Zana Buçinca, Maja Barbara Malaya & Krzysztof Z. Gajos, “To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-Making,” CSCW 2021. doi:10.1145/3449287

Recommended

  • Eric Horvitz, “Principles of Mixed-Initiative User Interfaces,” CHI 1999. doi:10.1145/302979.303030
  • Gagan Bansal et al., “Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance,” CHI 2021. doi:10.1145/3411764.3445717

Optional

Slides: Human-AI Interaction (PDF)

Friday, Sep 25 — Methods

Design-led Inquiry / Research through Design + Wizard-of-Oz

Required

  • John Zimmerman & Jodi Forlizzi, “Research Through Design in HCI,” in Ways of Knowing in HCI, Springer, 2014, 167–190. doi:10.1007/978-1-4939-0378-8_8
  • J. F. Kelley, “An Iterative Design Methodology for User-Friendly Natural Language Office Information Applications,” ACM Transactions on Office Information Systems 2(1), 26–41, 1984. doi:10.1145/357417.357420

Recommended

  • Lazar, Feng & Hochheiser (2017) — Ch. 10 (Usability testing); design-led inquiry material. [chapters TBD] Ch. 10

Optional

  • William Gaver, “Science and Design: The Implications of Different Forms of Accountability,” in Ways of Knowing in HCI, 2014, 143–166. doi:10.1007/978-1-4939-0378-8_7

Slides: Will be posted

Week 5 Sep 28–Oct 2

Monday, Sep 28 — Seminar

Social Computing & CSCW

Required

  • Jonathan Grudin, “Why CSCW Applications Fail: Problems in the Design and Evaluation of Organizational Interfaces,” CSCW 1988. doi:10.1145/62266.62273
  • Joon Sung Park et al., “Social Simulacra: Creating Populated Prototypes for Social Computing Systems,” UIST 2022. doi:10.1145/3526113.3545616

Recommended

  • Kjeld Schmidt & Liam Bannon, “Taking CSCW Seriously: Supporting Articulation Work,” CSCW journal, 1992. doi:10.1007/BF00752449
  • Mark Ackerman, “The Intellectual Challenge of CSCW: The Gap Between Social Requirements and Technical Feasibility,” Human-Computer Interaction 15(2–3), 179–203, 2000. doi:10.1207/s15327051hci1523_5

Optional

Slides: Will be posted

Friday, Oct 2 — Methods

Qualitative Field Methods — Ethnography + Probes/Diaries

Required

Recommended

  • Lazar, Feng & Hochheiser (2017), Ch. 9 (Ethnography) + Ch. 6 (Diaries). Ch. 9 · Ch. 6

Optional

  • S. Consolvo & M. Walker, “Using the Experience Sampling Method to Evaluate Ubicomp Applications,” IEEE Pervasive Computing 2(2), 24–31, 2003. doi:10.1109/MPRV.2003.1203750

Slides: Will be posted

Week 6 Oct 5–9

Monday, Oct 5 — Seminar

Generative AI, Creativity & Tools for Thought

Required

  • Lee, Sarkar, Tankelevitch, et al., “The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects,” CHI 2025. doi:10.1145/3706598.3713778

Recommended

  • Vannevar Bush, “As We May Think,” The Atlantic, 1945. [read] (re-read from Week 3)

Optional

  • Dhillon, Molad, et al., “Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models,” CHI 2024. doi:10.1145/3613904.3642134

Slides: Will be posted

Friday, Oct 9 — Methods

Experimental Design + Measurement Basics

Required

  • Lazar, Feng & Hochheiser (2017), Ch. 2 (Experimental research) + Ch. 3 (Experimental design). Ch. 2 · Ch. 3

Slides: Will be posted

Week 7 Oct 12–16

Monday, Oct 12 — Seminar

Accessibility, Aging & AI

Required

  • Wobbrock, Kane, Gajos, Harada & Froehlich, “Ability-Based Design: Concept, Principles and Examples,” ACM Transactions on Accessible Computing 3(3), 2011. doi:10.1145/1952383.1952384
  • Glazko, Yamagami, Desai, Mack, Potluri, Xu & Mankoff, “An Autoethnographic Case Study of Generative Artificial Intelligence’s Utility for Accessibility,” ASSETS 2023. doi:10.1145/3597638.3614548

Optional

  • Meredith Ringel Morris, “AI and Accessibility: A Discussion of Ethical Considerations,” CACM 63(6), 2020. doi:10.1145/3356727 · Whittaker, Morris et al., Disability, Bias, and AI, AI Now Institute, 2019. [read]

Slides: Will be posted

Friday, Oct 16 — Methods

Method-Design Crit

Required

  • None — bring your completed Step-by-Step Experimental Design; it is what your pod crits.

Recommended

  • Lazar, Feng & Hochheiser (2017), Ch. 13 (Measuring the human) — scales & reliability. Ch. 13

Optional

  • Lazar, Feng & Hochheiser (2017), Ch. 5 (Surveys). Ch. 5

Slides: Will be posted

Week 8 Oct 19–23

Monday, Oct 19 — Seminar

Ubiquitous, Mobile & Tangible Computing

Required

Recommended

  • Mark Weiser & John Seely Brown, “The Coming Age of Calm Technology,” in P. J. Denning & R. M. Metcalfe (eds.), Beyond Calculation: The Next Fifty Years of Computing, Copernicus/Springer, 1997, 75–85. doi:10.1007/978-1-4612-0685-9_6

Optional

  • Lucy Suchman, Plans and Situated Actions, 1987 — Intro + Ch. 1 (revisited from Week 3). [read] (NetID login)

Slides: Will be posted

Friday, Oct 23 — Methods

Qualitative Analysis — Grounded Theory / Open-Coding + AI-Assisted Qual

Required

  • Michael Muller, “Curiosity, Creativity, and Surprise as Analytic Tools: Grounded Theory Method,” in Ways of Knowing in HCI, Springer, 2014, 25–48. doi:10.1007/978-1-4939-0378-8_2
  • Z. Xiao, X. Yuan, Q. V. Liao, R. Abdelghani & P.-Y. Oudeyer, “Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding,” IUI ’23 Companion, 2023. doi:10.1145/3581754.3584136

Recommended

  • Lazar, Feng & Hochheiser (2017), Ch. 11 (Analyzing qualitative data). Ch. 11

Slides: Will be posted

Week 9 Oct 26–30

Monday, Oct 26 — Seminar

Agents, Delegation & Embodiment

Required

  • Wendy E. Mackay, “Creating Human-Computer Partnerships,” in Computer-Human Interaction Research and Applications (CHIRA 2023), Springer CCIS vol. 1996, 3–17, 2024. doi:10.1007/978-3-031-49425-3_1
  • Newendorp, Sanaei, Perron, Sabouni, Javadpour, Sells, Nelson, Dorneich & Gilbert, “Apple’s Knowledge Navigator: Why Doesn’t that Conversational Agent Exist Yet?” CHI ’24, Article 776. doi:10.1145/3613904.3642739

Recommended

  • Krzysztof Gajos & Lena Mamykina, “Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning,” IUI 2022. doi:10.1145/3490099.3511138
  • Lucy Suchman, Human-Machine Reconfigurations: Plans and Situated Actions, 2nd ed., Cambridge Univ. Press, 2007. Cambridge Core

Optional

  • Park, O’Brien, Cai, Morris, Liang & Bernstein, “Generative Agents: Interactive Simulacra of Human Behavior,” UIST 2023 (re-read through the delegation lens; already assigned in Week 5). doi:10.1145/3586183.3606763

Slides: Will be posted

Friday, Oct 30 — Methods

Statistics I — Descriptive + Effect Sizes & CIs

Required

  • Lazar, Feng & Hochheiser (2017), Ch. 4 (Statistical analysis) — descriptive statistics. Ch. 4
  • G. Cumming, “The New Statistics: Why and How,” Psychological Science 25(1), 7–29, 2014. doi:10.1177/0956797613504966

Slides: Will be posted

Week 10 Nov 2–6

Monday, Nov 2 — Seminar

XR & Spatial Computing

Required

  • Mel Slater, “Place Illusion and Plausibility Can Lead to Realistic Behaviour in Immersive Virtual Environments,” Phil. Trans. R. Soc. B 364(1535), 3549–3557, 2009. doi:10.1098/rstb.2009.0138
  • Lei Zhang, Jin Pan, Jacob Gettig, Steve Oney & Anhong Guo, “VRCopilot: Authoring 3D Layouts with Generative AI Models in VR,” UIST 2024. doi:10.1145/3654777.3676451 · arXiv:2408.09382

Recommended

  • Mingyu Zhu, Jiangong Chen & Bin Li, “When Generative AI Meets Extended Reality: Enabling Scalable and Natural Interactions,” IEEE Internet Computing, 2026 — read critically as an industry claim. arXiv:2601.15308

Optional

  • Slater et al., “A Separate Reality: An Update on Place Illusion and Plausibility in Virtual Reality,” Frontiers in Virtual Reality 3, 2022. doi:10.3389/frvir.2022.914392
  • Fitts, P. M., “The information capacity of the human motor system in controlling the amplitude of movement,” Journal of Experimental Psychology 47(6), 381–391, 1954 — for 3D target acquisition. doi:10.1037/h0055392

Slides: Will be posted

Friday, Nov 6 — Methods

Statistics II — Inferential (t-test, χ², ANOVA) + Regression

Required

  • Lazar, Feng & Hochheiser (2017), Ch. 4 (Statistical analysis) — inferential statistics. Ch. 4

Slides: Will be posted

Week 11 Nov 9–13

Monday, Nov 9 — Seminar

Affective & Physiological Computing

Required

  • Rosalind Picard, Affective Computing, MIT Press, 1997. doi:10.7551/mitpress/1140.001.0001
  • Barrett, Adolphs, Marsella, Martinez & Pollak, “Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements,” Psychological Science in the Public Interest 20(1), 2019. doi:10.1177/1529100619832930

Recommended

Optional

  • De Freitas et al., “AI Companions Reduce Loneliness,” Journal of Consumer Research 52(6), 1126–1148 (2026; online 2025). doi:10.1093/jcr/ucaf040

Slides: Will be posted

Friday, Nov 13 — Methods

Analysis/Results Crit

Required

  • None — bring your Inferential Analysis Plan and any preliminary results; they are what your pod crits.

Recommended

  • Lazar, Feng & Hochheiser (2017) — analysis / reliability chapter. [chapter TBD] Ch. 11 · Ch. 13

Slides: Will be posted

Week 12 Nov 16–20

Monday, Nov 16 — Seminar

Privacy, Security & Surveillance

Required

  • Helen Nissenbaum, “Privacy as Contextual Integrity,” Washington Law Review 79(1), 2004. [read]
  • Mireshghallah, Kim, Zhou, et al., “Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory (ConfAIde),” ICLR 2024. arXiv:2310.17884

Recommended

  • Shokri, Stronati, Song & Shmatikov, “Membership Inference Attacks Against Machine Learning Models,” IEEE Symposium on Security & Privacy 2017. doi:10.1109/SP.2017.41

Slides: Will be posted

Friday, Nov 20 — Methods

Research Reporting & Writing + Open Science

Required

  • Lazar, Feng & Hochheiser (2017) — [reading TBD]

Slides: Will be posted

Week 13 Nov 23–27

Monday, Nov 23 — Seminar

Critical, Responsible & Sustainable AI

Required

Recommended

  • Mary L. Gray & Siddharth Suri, Ghost Work, Houghton Mifflin Harcourt, 2019. ghostwork.info

Optional

  • Lucy Suchman, Human-Machine Reconfigurations: Plans and Situated Actions, 2nd ed., 2007. Cambridge Core
  • Strubell, Ganesh & McCallum, “Energy and Policy Considerations for Deep Learning in NLP,” ACL 2019. doi:10.18653/v1/P19-1355

Slides: Will be posted

Friday, Nov 27

Thanksgiving recess — no class.

Week 14 Nov 30–Dec 4

Monday, Nov 30 — Project Studio

Capstone studio (project crit) — no new seminar readings.

Friday, Dec 4 — Methods

Final Writing & Presentation Clinic

A working clinic (paper polish + lightning-talk prep) for the Dec 7 showcase — no new textbook chapter.

Slides: Will be posted

Week 15 Dec 7–9

Monday, Dec 7 — Final Presentations

Lightning-talk showcase — each team gives a 2-minute talk.

Slides: Will be posted

Friday, Dec 11

No Friday session — last class day is Wed Dec 9.

Final paper due Mon Dec 14, 2026, 11:59 pm (finals week), submitted on Canvas — ACM acmart (sigconf) format, ~8–10 pp.

Schedule and readings subject to minor adjustment; changes are announced on Canvas.