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Analysing Action and Intention Recognition in Human-Robot Interaction with ANEMONE
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (ILAB))ORCID iD: 0000-0002-7554-2301
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (ILAB))ORCID iD: 0000-0003-0946-7531
2021 (English)In: Human-Computer Interaction. Interaction Techniques and Novel Applications: Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II / [ed] Masaaki Kurosu, Cham: Springer, 2021, Vol. 12763, p. 181-200Conference paper, Published paper (Refereed)
Abstract [en]

The ANEMONE is a methodological approach for user experience (UX) evaluation of action and intention recognition in human-robot interaction that has activity theory as its theoretical lens in combination with the seven stages of action model and UX evaluation methodology. ANEMONE has been applied in a case where a prototype has been evaluated. The prototype was a workstation in assembly in manufacturing consisting of a collaborative robot, a pallet, a tablet, and a workbench, where one operator is working in the same physical space as one robot. The purpose of this paper is to provide guidance on how to use ANEMONE, with a particular focus on the data analysis part, through describing a real example together with lessons learned and recommendations.

Place, publisher, year, edition, pages
Cham: Springer, 2021. Vol. 12763, p. 181-200
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12763
Keywords [en]
Human-Robot Interaction, Human-Robot Collaboration, User-centered Evaluation, Action Recognition, Intention Recognition, Activity Theory, Seven Stages of Action Model, User Experience (UX)
National Category
Human Computer Interaction
Research subject
INF302 Autonomous Intelligent Systems; Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-20248DOI: 10.1007/978-3-030-78465-2_14ISI: 000766308400014Scopus ID: 2-s2.0-85120694190ISBN: 978-3-030-78464-5 (print)ISBN: 978-3-030-78465-2 (electronic)OAI: oai:DiVA.org:his-20248DiVA, id: diva2:1581926
Conference
23rd International Conference on Human-Computer Interaction, HCII 2021, Virtual Event, July 24–29, 2021
Projects
AIRSYMBIO-TIC
Funder
Knowledge Foundation, 20140220EU, Horizon 2020
Note

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12763)

Available from: 2021-07-27 Created: 2021-07-27 Last updated: 2022-03-31Bibliographically approved

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Alenljung, BeatriceLindblom, Jessica

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