Editorial published In: Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation
Edited by Oliver Roesler, Elahe Bagheri, Amir Aly, Silvia Rossi and Rachid Alami
[Interaction Studies 23:3] 2022
► pp. 355–359
Editorial
Socially acceptable robot behavior
Approaches for learning, adaptation and evaluation
This article is available free of charge.
Published online: 21 April 2023
https://doi.org/10.1075/is.00015.edi
https://doi.org/10.1075/is.00015.edi
Article outline
- Introduction
- Summary of the special issue
- Acknowledgements
References
References (18)
Bassetti, C., Blanzieri, E., Borgo, S., & Marangon, S. (2022). Towards socially-competent and culturally-adaptive artificial agents Expressive order, interactional disruptions and recovery strategies. Interaction Studies.
Brave, S., Nass, C., & Hutchinson, K. (2005, February). Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent. International Journal of Human-Computer Studies, 62(2), 161–178.
Costantini, S., Formisano, A., & Pitoni, V. (2022). An Epistemic Logic for Formalizing Group Dynamics of Agents. Interaction Studies.
Cramer, H., Goddijn, J., Wielinga, B., & Evers, V. (2010, March). Effects of (In)Accurate Empathy and Situational Valence on Attitudes towards Robots. In Proceedings of the 5th International Conference on Human-Robot Interaction (HRI).
Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003, December). A survey of socially interactive robots. Robotics and Autonomous Systems, 42(3–4), 143–166.
Groom, V., Chen, J., Johnson, T., Kara, F. A., & Nass, C. (2010, March). Critic, compatriot, or chump?: Responses to robot blame attribution. In Proceedings of the 5th International Conference on Human-Robot Interaction (HRI).
Hamacher, A., Bianchi-Berthouze, N., Pipe, A. G., & Eder, K. (2016, August). Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction. In Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
Hwang, J., Park, T., & Hwang, W. (2013, May). The effects of overall robot shape on the emotions invoked in users and the perceived personalities of robot. Applied Ergonomics, 44(3), 459–471.
Joosse, M. P., Poppe, R. W., Lohse, M., & Evers, V. (2014, August). Cultural differences in how an engagement-seeking robot should approach a group of people. In Proceedings of the 5th International Conference on Collaboration across Boundaries: Culture, Distance & Technology (CABS) (p. 121–130).
Lee, H. R., & Sabanovic, S. (2014, March). Culturally Variable Preferences for Robot Design and Use in South Korea, Turkey, and the United States. In Proceedings of the 9th International Conference on Human-Robot Interaction (HRI).
Li, H., Milani, S., Krishnamoorthy, V., Lewis, M., & Sycara, K. (2019, January). Perceptions of Domestic Robots’ Normative Behavior Across Cultures. In Proceedings of the 2019 Conference on AI, Ethics, and Society (AIES) (p. 345–351).
Roesler, O., Bagheri, E., & Aly, A. (2022). Toward Understanding the Effects of Socially Aware Robot Behavior. Interaction Studies.
Scheutz, M., Schermerhorn, P., Kramer, J., & Anderson, D. (2007, May). First steps toward natural human-like HRI. Autonomous Robots, 221, 411–423.
Shiarlis, K., Messias, J., & Whiteson, S. (September, 2017). Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration. In Proceedings of the International Conference on Intelligent Robots and Systems (IROS).
Shiomi, M., Nakagawa, K., & Hagita, N. (2013, December). Design of a gaze behavior at a small mistake moment for a robot. Interaction Studies, 14(3), 317–328.
Walters, M. L., Dautenhahn, K., te Boekhorst, R., Koay, K. L., & Woods, S. N. (2007, April). Exploring the Design Space of Robot Appearance and Behavior in an Attention-Seeking ‘Living Room’ Scenario for a Robot Companion. In Proceedings of the 2007 IEEE Symposium on Artificial Life (p. 341–347).
Wullenkord, R., Bellon, J., Gransche, B., Nähr-Wagener, S., & Eyssel, F. (2022). Social appropriateness in HMI – the Five Factors of Social Appropriateness (FASA) Model. Interaction Studies.
Yildirim, Y., & Ugur, E. (2022). Learning Social Navigation from Demonstrations with Conditional Neural Processes. Interaction Studies.
