Module 1 - articles - mandatory
Grudin, Jonathan. AI and HCI: Two Fields Divided by a Common Focus. AI magazine 30, no 4 (September 18, 2009).
https://aaai.org/ojs/index.php/aimagazine/article/view/2271
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.
https://dl.acm.org/citation.cfm?id=3209769
Thrun, S., 2004. Toward a Framework for Human-robot Interaction. Hum.-Comput. Interact. 19, 9–24.
https://www.tandfonline.com/doi/pdf/10.1080/07370024.2004.9667338
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)
https://www.jstor.org/stable/55330?seq=9#metadata_info_tab_contents
Verne, G, Bratteteig, 2018, Does AI make PD obsolete?; exploring challenges from Artificial Intelligence to Participatory design,
https://dl.acm.org/citation.cfm?id=3210646
Module 1 books; check them out. Not mandatory reading;)
Agre, P.E., 1997. Computation and Human Experience. Cambridge University Press, New York, NY, USA.
Module 1 - films (check them out) - not mandatory viewing;)
Plug and Pray; documentary with Weizenbaum and others.
Module 2 - 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. (https://www.microsoft.com/en-us/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf)
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. (https://www.microsoft.com/en-us/research/uploads/prod/2019/01/chi19_kocielnik_et_al.pdf)
Følstad, A., & Brandtzæg, P. B. (2017). Chatbots and the new world of HCI. interactions, 24(4), 38-42. (https://dl.acm.org/citation.cfm?id=3085558)
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. (https://www.microsoft.com/en-us/research/wp-content/uploads/2016/08/p5286-luger.pdf)
Module 2 articles – optional / suggested reading
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. (https://www.sciencedirect.com/science/article/pii/S0040162516302244)
Carter, S., & Nielsen, M. (2017). Using artificial intelligence to augment human intelligence. Distill, 2(12), e9. (https://distill.pub/2017/aia/)
Wilson, H. J., & Daugherty, P. R. (2018).
Collaborative intelligence: humans and AI are joining forces. Harvard Business Review, 96(4), 114-123. (https://hbr.org/2018/07/collaborative-intelligence-humans-and-ai-are-joining-forces)
Module 2 books – optional / suggested reading
Noessel, C. (2017). Designing Agentive technology: AI that works for people. Rosenfeld Media.
Hall, E. (2018).
Conversational design. A Book Apart
McAfee, A., & Brynjulfsson, E. (2016). Machine,
Platform, Crowd. Harnessing Our Digital Future. Norton & Company.
Module 3 - articles - mandatory
Buchner R., Wurhofer D., Weiss A., Tscheligi M. (2013) Robots in Time: How User Experience in Human-Robot Interaction Changes over Time. In: Herrmann G.,
Pearson M.J., Lenz A., Bremner P., Spiers A., Leonards U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science, vol 8239. Springer, Cham
Elizabeth Phillips, Scott Ososky, Brittany Swigert, and Florian Jentsch, 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
EPSTEIN,S., WANTED: COLLABORATIVE INTELLIGENCE, ARTIFICIAL INTELLIGENCE, 221 (2015 36-45
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
Sarah Woods 1 , Kerstin Dautenhahn, Christina Kaouri, René te Boekhorst, Kheng Lee Koay and Michael L. Walters , (2007) Are robots like people?: Relationships between participant and robot personality traits in human–robot interaction studies, Interaction Studies, Volume 8, Issue 2, Jan 2007, p. 281 – 305
Module 3 – optional / suggested reading
Hernández-Orallo, Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement , J. Artif Intell Rev (2017) 48: 397.
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)