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When robot personalisation does not help: Insights from a robot-supported learning study
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)ORCID iD: 0000-0003-3324-4418
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)
2018 (English)In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 705-712Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2018. p. 705-712
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Human Computer Interaction
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URN: urn:nbn:se:uu:diva-366205DOI: 10.1109/ROMAN.2018.8525832ISBN: 978-1-5386-7981-4 (electronic)OAI: oai:DiVA.org:uu-366205DiVA, id: diva2:1263873
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RO-MAN 2018, August 27–31, Nanjing, China
Available from: 2018-11-17 Created: 2018-11-17 Last updated: 2018-12-04Bibliographically approved

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Gao, YuanObaid, MohammadCastellano, Ginevra
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