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Role-Play as Responsible Robotics: The Virtual Witness Testimony Role-Play Interview for Investigating Hazardous Human-Robot Interactions
Univ Oxford, Dept Comp Sci, Oxford, England..
Univ Oxford, Dept Comp Sci, Oxford, England..
Univ West England, Bristol Robot Lab, Bristol, Avon, England..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
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2021 (English)In: Frontiers in Robotics and AI, E-ISSN 2296-9144, Vol. 8, article id 644336Article in journal (Refereed) Published
Abstract [en]

The development of responsible robotics requires paying attention to responsibility within the research process in addition to responsibility as the outcome of research. This paper describes the preparation and application of a novel method to explore hazardous human-robot interactions. The Virtual Witness Testimony role-play interview is an approach that enables participants to engage with scenarios in which a human being comes to physical harm whilst a robot is present and may have had a malfunction. Participants decide what actions they would take in the scenario and are encouraged to provide their observations and speculations on what happened. Data collection takes place online, a format that provides convenience as well as a safe space for participants to role play a hazardous encounter with minimal risk of suffering discomfort or distress. We provide a detailed account of how our initial set of Virtual Witness Testimony role-play interviews were conducted and describe the ways in which it proved to be an efficient approach that generated useful findings, and upheld our project commitments to Responsible Research and Innovation. We argue that the Virtual Witness Testimony role-play interview is a flexible and fruitful method that can be adapted to benefit research in human robot interaction and advance responsibility in robotics.

Place, publisher, year, edition, pages
Frontiers Media SA , 2021. Vol. 8, article id 644336
Keywords [en]
role-play, interview, responsible research and innovation, methods, human-robot interaction
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-299086DOI: 10.3389/frobt.2021.644336ISI: 000672340700001PubMedID: 34268338Scopus ID: 2-s2.0-85110129864OAI: oai:DiVA.org:kth-299086DiVA, id: diva2:1583449
Note

QC 20210806

Available from: 2021-08-06 Created: 2021-08-06 Last updated: 2022-06-25Bibliographically approved

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Winkle, Katie

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Citation style
  • apa
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  • de-DE
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More languages
Output format
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