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Investigating NARS: Inconsistent Practice of Application and Reporting
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0001-8642-336x
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0002-8937-8063
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Interaction Lab)ORCID iD: 0000-0003-2254-1396
2023 (English)In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE, 2023, p. 922-927Conference paper, Published paper (Refereed)
Abstract [en]

The Negative Attitude toward Robots Scale (NARS) is one of the most common questionnaires used in the studies of human-robot interaction (HRI). It was established in 2004, and has since then been used in several domains to measure attitudes, both as main results and as a potential confounding factor. To better understand this important tool of HRI research, we reviewed the HRI literature with a specific focus on practice and reporting related to NARS. We found that the use of NARS is being increasingly reported, and that there is a large variation in how NARS is applied. The reporting is, however, often not done in sufficient detail, meaning that NARS results are often difficult to interpret, and comparing between studies or performing meta-analyses are even more difficult. After providing an overview of the current state of NARS in HRI, we conclude with reflections and recommendations on the practices and reporting of NARS.

Place, publisher, year, edition, pages
IEEE, 2023. p. 922-927
Series
IEEE International Symposium on Robot and Human Interactive Communication proceedings, ISSN 1944-9445, E-ISSN 1944-9437
National Category
Robotics Human Aspects of ICT Interaction Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-23359DOI: 10.1109/RO-MAN57019.2023.10309650ISBN: 979-8-3503-3670-2 (electronic)ISBN: 979-8-3503-3671-9 (print)OAI: oai:DiVA.org:his-23359DiVA, id: diva2:1811799
Conference
IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea
Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2023-11-14Bibliographically approved

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Rosén, JuliaLagerstedt, ErikLamb, Maurice

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