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What Is It Like to Be a Bot?: Toward More Immediate Wizard-of-Oz Control in Social Human–Robot Interaction
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. (COIN)ORCID iD: 0000-0003-0098-5391
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (COIN)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (IxS)ORCID iD: 0000-0003-2919-098X
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (COIN)ORCID iD: 0000-0001-6883-2450
2017 (English)In: HAI 2017 Proceedings of the 5th International Conference on Human Agent Interaction, New York, NY.: ACM Press, 2017, p. 435-438Conference paper, Published paper (Refereed)
Abstract [en]

Several Wizard-of-Oz techniques have been developed to make robots appear autonomous and more social in human-robot interaction. Many of the existing solutions use control interfaces that introduce significant time delays and hamper the robot operator's ability to produce socially appropriate responses in real time interactions. We present work in progress on a novel wizard control interface designed to overcome these limitations:a motion tracking-based system which allows the wizard to act as if he or she is the robot. The wizard sees the other through the robot's perspective, and uses his or her own bodily movements to control it. We discuss potential applications and extensions of this system, and conclude by discussing possible methodological advantages and disadvantages.

Place, publisher, year, edition, pages
New York, NY.: ACM Press, 2017. p. 435-438
Keywords [en]
social robotics, social interaction, Wizard of Oz; HRI methodology, HTC Vive, humanoid, Pepper robot
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-148767DOI: 10.1145/3125739.3132580ISBN: 978-1-4503-5113-3 (print)OAI: oai:DiVA.org:liu-148767DiVA, id: diva2:1220643
Conference
5th International Conference on Human Agent Interaction, HAI 2017, Bielefeld, Germany 17-20 October 2017
Available from: 2018-06-19 Created: 2018-06-19 Last updated: 2020-02-04

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Thellman, SamArvola, MattiasZiemke, Tom

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Citation style
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