Module 1 - Articles - mandatory

Grudin, Jonathan. AI and HCI: Two Fields Divided by a Common Focus.  AI magazine 30, no 4 (September 18, 2009).

Dautenhahn, K., 2018. Some Brief Thoughts on the Past and Future of Human-Robot Interaction. ACM Trans. Hum.-Robot Interact. 7, 4:1–4:3.

Thrun, S., 2004. Toward a Framework for Human-robot Interaction. Hum.-Comput. Interact. 19, 9–24.

Schulz, T., Herstad, J., & Torresen, J. (2018). Classifying Human and
Robot Movement at Home and Implementing Robot Movement
Using the Slow In, Slow Out Animation Principle. International
Journal on Advances in Intelligent Systems, 11, 234–244.


Norman, D (1990).  The problem of automation:  Inappropirate feedback and interaction, not over-automation.  Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, Vol. 327, No. 1241, Human Factors in Hazardous Situations (Apr. 12, 1990), pp. 585-593 (9 pages)

Verne, G, Bratteteig, 2018, Does AI make PD obsolete?; exploring challenges from Artificial Intelligence to Participatory design,

Module 1 books; check them out.  Not mandatory reading;)

Agre, P.E., 1997. Computation and Human Experience. Cambridge University Press, New York, NY, USA.

Dreyfus, H.L., 1972. What computers can’t do; a critique of artificial reason. Harper & Row, New York.
Minsky, M., 1985. The Society of Mind. Touchstone by Simon & Schuster.
Newell, A., Simon, H.A., 1972. Human problem-solving. Prentice-Hall, Englewood Cliffs.
Simon, H., 1996. The Sciences of the artificial. The MIT Press, Cambridge.
Suchman, L., 1987. Plans and situated actions: the problem of human-machine communication. Cambridge University Press.
Weizenbaum, J., 1976. Computer Power and Human Reason: From Judgment to Calculation. W. H. Freeman & Co., New York, NY, USA.
Winograd, T., Flores, F., 1986. Understanding computers and cognition; a new foundation for design. Addison-Wesley, Reading.

Module 1 - films/video (check them out) - not mandatory viewing;)

Plug and Pray; documentary with Weizenbaum and others.

Do you trust this computer?

Searl - Talks@google; consciousness in AI

Module 2 (Design of interaction with AI) – articles – mandatory

Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., ... & Teevan, J. (2019). Guidelines for human-AI interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (paper no. 3). ACM. (


Kocielnik, R., Amershi, S., & Bennett, P. N. (2019). Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (paper no. 411). ACM. (


Liao, Q. V., Gruen, D., & Miller, S. (2020, April). Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (paper no. 463). ACM. (


Yang, Q., Steinfeld, A., Rosé, C., & Zimmerman, J. (2020, April). Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design. In Proceedings of the 2020 chi conference on human factors in computing systems (Paper no. 164). (


Module 2  (Design of interaction with AI) – articles – optional / suggested reading

Følstad, A., & Brandtzæg, P. B. (2017). Chatbots and the new world of HCI. interactions, 24(4), 38-42. (


Luger, E., & Sellen, A. (2016). Like having a really bad PA: the gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 5286-5297). ACM. (


Carter, S., & Nielsen, M. (2017). Using artificial intelligence to augment human intelligence. Distill, 2(12), e9. (


Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: humans and AI are joining forces. Harvard Business Review, 96(4), 114-123. (


Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280. (


Module 2  (Design of interaction with AI) – books – optional / suggested reading

Hall, E. (2018). Conversational design. A Book Apart

McAfee, A., & Brynjulfsson, E. (2016). Machine, Platform, Crowd. Harnessing Our Digital Future. Norton & Company.

Noessel, C. (2017). Designing Agentive technology: AI that works for people. Rosenfeld Media.

Module 3 (Living and working with AI) - articles -mandatory

Hagras, H., Toward Human-Understandable, Explainable AI, Computer, 51, 9, 2018, 28- 36

Phillips, E., Ososky, S., Swigert, B. and Jentsch, F. Human-animal teams as an analog for future human-robot teams, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol 56, Issue 1, (2016) pp. 1553 – 1557


Shneiderman, B., Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy, (February 23, 2020). (Extract from forthcoming book by the same title)

Smith-Renner, A., Fan, R., Birchfield, M., Wu, T., Boyd-Graber, J., Weld, D.S., and Findlater. L. 2020. No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–13. DOI:

Module 3 (Living and working with AI) – articles optional /suggested reading

Buolamwini, J. and Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, in PMLR 81:77-91

De-Arteaga, M., Fogliato, R., and Chouldechova. A., 2020. A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–12. DOI:

Hernández-Orallo, Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement, J. Artif Intell Rev (2017) 48: 397. 9505-7

Lindblom J., Andreasson R. (2016) Current Challenges for UX Evaluation of Human-Robot Interaction. In: Schlick C., Trzcieliński S. (eds) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future. Advances in Intelligent Systems and Computing, vol 490. Springer, Cham. DOI:

Maroengsit, W. et al. (2019) A Survey on Evaluating Methods for Chatbots., ICIET 2019

Jain M. et al. (2018) Evaluating and Informing the Design of Chatbots. In Proceedings of the 2018 Designing Interactive Systems Conference (DIS '18). Association for Computing Machinery, New York, NY, USA, 895–906. DOI:

Module 3 (Living and working with AI) – books optional /suggested reading

Endsley, Mica R. Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition CRC Press. 2011 (chapters 2 and 10)

Hosanagar, K. A human's guide to machine intelligence, Viking, 2019 (chapters 7- 10)

Module 3 (Living and working with AI) – film (check it out) not mandatory

iHUMAN documentary by Tonje Hessen Schei


Publisert 17. aug. 2020 14:34 - Sist endret 3. nov. 2020 21:03