Discovering social interaction strategies for robots from restricted-perception Wizard-of-Oz studiesShow others and affiliations
2016 (English)In: Proc. 11th ACM/IEEE International Conference on Human Robot Interaction, Piscataway, NJ: IEEE Press, 2016, p. 197-204Conference paper, Published paper (Refereed)
Abstract [en]
In this paper we propose a methodology for the creation of social interaction strategies for human-robot interaction based on restricted-perception Wizard-of-Oz studies (WoZ). This novel experimental technique involves restricting the wizard's perceptions over the environment and the behaviors it controls according to the robot's inherent perceptual and acting limitations. Within our methodology, the robot's design lifecycle is divided into three consecutive phases, namely data collection, where we perform interaction studies to extract expert knowledge and interaction data; strategy extraction, where a hybrid strategy controller for the robot is learned based on the gathered data; strategy refinement, where the controller is iteratively evaluated and adjusted. We developed a fully-autonomous robotic tutor based on the proposed approach in the context of a collaborative learning scenario. The results of the evaluation study show that, by performing restricted-perception WoZ studies, our robots are able to engage in very natural and socially-aware interactions.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2016. p. 197-204
Series
ACM/IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-303779DOI: 10.1109/HRI.2016.7451752ISI: 000381802800027ISBN: 978-1-4673-8370-7 (electronic)OAI: oai:DiVA.org:uu-303779DiVA, id: diva2:973986
Conference
HRI 2016, March 7–10, Christchurch, New Zealand
2016-04-142016-09-232018-01-10Bibliographically approved