All Outputs (2)

Automatically Classifying User Engagement for Dynamic Multi-party Human–Robot Interaction (2017)
Journal Article
Foster, M. E., Gaschler, A., & Giuliani, M. (2017). Automatically Classifying User Engagement for Dynamic Multi-party Human–Robot Interaction. International Journal of Social Robotics, 9(5), 659-674. https://doi.org/10.1007/s12369-017-0414-y

© 2017, The Author(s). A robot agent designed to engage in real-world human–robot joint action must be able to understand the social states of the human users it interacts with in order to behave appropriately. In particular, in a dynamic public spac... Read More about Automatically Classifying User Engagement for Dynamic Multi-party Human–Robot Interaction.

To err is robot: How humans assess and act toward an erroneous social robot (2017)
Journal Article
Mirnig, N., Stollnberger, G., Miksch, M., Stadler, S., Giuliani, M., & Tscheligi, M. (2017). To err is robot: How humans assess and act toward an erroneous social robot. Frontiers in Robotics and AI, 4(MAY), 21. https://doi.org/10.3389/frobt.2017.00021

© 2017 Mirnig, Stollnberger, Miksch, Stadler, Giuliani and Tscheligi. We conducted a user study for which we purposefully programmed faulty behavior into a robot's routine. It was our aim to explore if participants rate the faulty robot different fro... Read More about To err is robot: How humans assess and act toward an erroneous social robot.