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A Review on Communicative Mechanisms of External HMIs in Human-Technology Interaction
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0002-8369-5471
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0003-2627-0079
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)
2022 (English)In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

The Operator 4.0 typology depicts the collaborative operator as one of eight operator working scenarios of operators in Industry 4.0. It signifies collaborative robot applications and the interaction between humans and robots working collaboratively or cooperatively towards a common goal. For this collaboration to run seamlessly and effortlessly, human-robot communication is essential. We briefly discuss what trust, predictability, and intentions are, before investigating the communicative features of both self-driving cars and collaborative robots. We found that although communicative external HMIs could arguably provide some benefits in both domains, an abundance of clues to what an autonomous car or a robot is about to do are easily accessible through the environment or could be created simply by understanding and designing legible motions.

Place, publisher, year, edition, pages
IEEE, 2022.
Series
IEEE Conference on Emerging Technologies and Factory Automation, ISSN 1946-0740, E-ISSN 1946-0759
Keywords [en]
Operator 4.0, Collaborative Robot Applications, Autonomous Driving, Legible Motion, Human-Machine Trust
National Category
Production Engineering, Human Work Science and Ergonomics Computer Vision and Robotics (Autonomous Systems) Applied Psychology
Research subject
User Centred Product Design
Identifiers
URN: urn:nbn:se:his:diva-21777DOI: 10.1109/ETFA52439.2022.9921454ISI: 000934103900033Scopus ID: 2-s2.0-85141387145ISBN: 978-1-6654-9996-5 (electronic)ISBN: 978-1-6654-9997-2 (print)OAI: oai:DiVA.org:his-21777DiVA, id: diva2:1700305
Conference
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 6-9 Sept. 2022
Available from: 2022-09-30 Created: 2022-09-30 Last updated: 2023-03-24Bibliographically approved

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Thorvald, PeterKolbeinsson, AriFogelberg, Emmie

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