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The Role of Intentions in Human-Robot Interaction
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab (ILAB))ORCID iD: 0000-0003-1177-4119
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Dept. of Computer & Information Science, Linköping University, Sweden. (Interaction Lab (ILAB))ORCID iD: 0000-0001-6883-2450
2017 (English)In: HRI’17: Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, Association for Computing Machinery (ACM), 2017, Association for Computing Machinery (ACM), 2017, p. 427-428Conference paper, Published paper (Other academic)
Abstract [en]

To be able to understand the intentions of other agents is a fundamental prerequisite for engaging in, for instance, instrumental helping or mutual collaboration. In HRI, the challenge is bi-directional: not only does a robot need the ability to infer intentions of humans, but humans also need to infer the intentions of the robot. It is therefore important to be clear about the theoretical frameworks and inherent assumptions underlying technological implementations related to mutual intention understanding. This remains very much an active research area in which further development is necessary. The core purpose of this workshop is to advance the state of the art in this area.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017. p. 427-428
Series
ACM/IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121, E-ISSN 2167-2148
National Category
Robotics and automation Other Engineering and Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-23853DOI: 10.1145/3029798.3029802ISI: 000626241800211Scopus ID: 2-s2.0-85016391353ISBN: 978-1-4503-4885-0 (print)OAI: oai:DiVA.org:his-23853DiVA, id: diva2:1858634
Conference
2017 ACM/IEEE International Conference on Human-Robot Interaction, March 6–9, 2017, Vienna, Austria
Funder
Knowledge Foundation, 20140220
Note

This work is supported by the Knowledge Foundation, Stockholm, under SIDUS grant agreement no. 20140220 (AIR, “Action and intention recognition in human interaction with autonomous systems”).

Available from: 2024-05-17 Created: 2024-05-17 Last updated: 2025-02-18Bibliographically approved

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Thill, SergeZiemke, Tom

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