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Introduction to Human-Robot Interaction2025HT
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Course plan
No of lectures
6-9 seminars (exact number depends on number of participants)
Recommended for
The course is interdisciplinary. It is mainly intended for PhD students in cognitive science, computer science, design and related disciplines. PhD students that come from other connected research areas (e.g., STS, gender studies, or applications of AI/robots in education, healthcare, etc.), are also very welcome.
The course was last given
It is a new course
Goals
- Understand and discuss foundational concepts in HRI from interaction design
to ethics.
- Design and conduct HRI studies, using appropriate methodologies to address
specific research questions or interaction challenges.
- Critically reflect on ethical considerations in HRI, discussing potential
future developments and their societal impact.
Prerequisites
Some background/interest in robotics, cognitive science, psychology, sociology, HCI, and/or AI.
Organization
The course will consist of student presentations based on at least 2 scientific
HRI papers followed by a critical discourse on the topic.
Each student is required to have read the 2 papers specified for each topic
before the lesson to be able to actively participate in the discussion.
Content
Introduction to the basic principles, psychological phenomenons, methods, application contexts, ethical aspects and future trends of human-robot interaction (see more details in Lectures)
Literature
Recommended literature in preparation for each session is specified in
Lectures.
The presenting student of each session might announce additional literature to
be read before the session.
Lectures
The topics of the first four sessions are set to guarantee a proper
introduction to HRI. The application areas (session 5 and onward) are just
suggestions and can be influenced by the students' interests.
Session 1: Foundations of Human-Robot Interaction
- History and evolution of HRI
- Types of robots (social, industrial, service) and their applications
- Interdisciplinarity in HRI research (HCI, XAI, Engineering, Psychology,
Cognitive Science, Anthropology, Sociology)
Literature:
Goodrich, M. A., & Schultz, A. C. (2007). Human-robot interaction: A survey.
Foundations and Trends in Human-Computer Interaction, 1(3), 203–275.
https://doi.org/10.1561/1100000005
Stock, R. M., & Nguyen, M. A. (2019). Robotic psychology what do we know about
human-robot interaction and what do we still need to learn? Proceedings of the
Annual Hawaii International Conference on System Sciences, 2019-Janua,
1936–1945. https://doi.org/10.24251/hicss.2019.234
Session 2: Human Perception and Social Behavior with Robots
- Human perception of robots: anthropomorphism, uncanny valley, social
presence, acceptance, trust
- Social behaviour: compliance, cooperation, interaction timing and
turn-taking
Literature:
Mara, M., Appel, M., & Gnambs, T. (2022). Human-Like Robots and the Uncanny
Valley: A Meta-Analysis of User Responses Based on the Godspeed Scales. In
Zeitschrift fur Psychologie / Journal of Psychology (Vol. 230, Issue 1, pp.
33–46). Hogrefe Verlag GmbH & Co. KG. https://doi.org/10.1027/2151-2604/a000486
Hancock, P. A., Kessler, T. T., Kaplan, A. D., Brill, J. C., & Szalma, J. L.
(2021). Evolving Trust in Robots: Specification Through Sequential and
Comparative Meta-Analyses. Human Factors, 63(7), 1196–1229.
https://doi.org/10.1177/0018720820922080
Session 3: Interaction Design in HRI
- Affordances: embodiment, gestures, and voice
- Multimodal Interaction, Proxemics and Spatial Interaction
- Transparency, Error Handling and Recovery in Interaction
- Accessibility, Personalization and Adaptation
Literature:
Elshan, E., Zierau, N., Engel, C., Janson, A., & Leimeister, J. M. (2022).
Understanding the Design Elements Affecting User Acceptance of Intelligent
Agents: Past, Present and Future. Information Systems Frontiers, 24(3),
699–730. https://doi.org/10.1007/s10796-021-10230-9
Kraus, J., Babel, F., Hock, P., Hauber, K., & Baumann, M. (2022). The
trustworthy and acceptable HRI checklist (TA-HRI): questions and design
recommendations to support a trustworthy and acceptable design of human-robot
interaction. Gruppe. Interaktion. Organisation. Zeitschrift Fur Angewandte
Organisationspsychologie, 53(3), 307–328.
https://doi.org/10.1007/s11612-022-00643-8
Session 4: Methodologies for HRI Research
- Quantitative methods: experimental studies, online surveys, model
development and testing
- Qualitative methods: Interviews, observation studies, ethnographic
studies
- Simulation methods such as VR and AR
- Participatory Design approaches
- Ethical aspects in HRI experiments: deception, consent, fear, harm
Literature:
Bethel, C. L., & Murphy, R. R. (2010). Review of human studies methods in HRI
and recommendations. International Journal of Social Robotics, 2(4), 347–359.
https://doi.org/10.1007/s12369-010-0064-9
Veling, L., & McGinn, C. (2021). Qualitative Research in HRI: A Review and
Taxonomy. International Journal of Social Robotics.
https://doi.org/10.1007/s12369-020-00723-z
Session 5: Socially Assistive Robots (SAR) and Companion/Entertainment Robots
- Robots in healthcare (surgery robots), elderly care, and rehabilitation
- Robots in education: reading, language learning, special needs
education (e.g. autism)
- Evaluating the impact and effectiveness of SAR in those applications
Literature:
Boada, J. P., Maestre, B. R., & Genís, C. T. (2021). The ethical issues of
social assistive robotics: A critical literature review. Technology in Society,
67, 101726. https://doi.org/10.1016/j.techsoc.2021.101726
Session 6: Robots in Domestic and Public Spaces
- Robots in unstructured home environments and public spaces
- Challenges of social norms and public acceptance
- One-fits-all solution vs. individualization
Literature:
Pelikan, H. R. M., Reeves, S., & Cantarutti, M. N. (2024). Encountering
Autonomous Robots on Public Streets. Proceeding of the ACM/IEEE International
Conference on Human-Robot Interaction - HRI ’24, 561–571.
https://doi.org/10.1145/3610977.3634936
Sung, J. Y., Grinter, R. E., & Christensen, H. I. (2010). Domestic robot
ecology: An initial framework to unpack long-term acceptance of robots at home.
International Journal of Social Robotics, 2(4), 417–429.
https://doi.org/10.1007/s12369-010-0065-8
Session 7: Human-Robot Teams and Shared Autonomy
- Mixed human-robot teams: dynamics, collaboration, and coordination
- Concepts of shared autonomy and decision-making
- Example Applications: search and rescue, industrial applications,
logistics and delivery
Literature:
O’Neill, T., McNeese, N., Barron, A., & Schelble, B. (2022). Human–Autonomy
Teaming: A Review and Analysis of the Empirical Literature. Human Factors,
64(5), 904–938. https://doi.org/10.1177/0018720820960865
Session 8: Ethical Considerations and Future Directions in HRI
- Ethical considerations in HRI: human-robot power asymmetry, digital
attachment disorder, robotic Personality and Social Roles
- Future trends in HRI: AI, natural language processing, adaptive systems
Literature:
Arnold, T., & Scheutz, M. (2017). Beyond Moral Dilemmas : Exploring the
Ethical Landscape in HRI. Proceedings of the 2017 ACM/IEEE International
Conference on Human-Robot Interaction., 445–452.
https://doi.org/10.1145/2909824.3020255
Gordon, J. S. (2020). Building Moral Robots: Ethical Pitfalls and Challenges.
Science and Engineering Ethics, 26(1), 141–157.
https://doi.org/10.1007/S11948-019-00084-5/TABLES/1
In case of more than 8 participants other application areas in HRI can be
included in the schedule:
• autonomous driving
• search & rescue
• drones
• farming and forestry
• soft robotics
Examination
Grades: pass/fail
1. 80% attendance
2. Engaging and interactive oral presentation in one session (ca. 20 min)
specifying key takeaways for the student group.
3. Final deliverable:
a written report (ca. 5 to 8 pages) on a chosen topic in HRI which is either:
- detailing the theory, method, expected outcomes and application of an
experimental HRI study
OR
- a position paper on philosophical or ethical aspects of HRI
Examiner
Franziska Babel
Credits
7.5 hp
Comments
Course can be given online in case of remote participants.
Page responsible: Anne Moe
