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Attuning the ‘pedestrian-vehicle’ and ‘driver-vehicle’: Why attributing a mind to a vehicle matters
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human and technology.ORCID iD: 0000-0002-9272-1520
2018 (English)In: Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365, Vol. 722, p. 19-22Article in journal (Refereed) Published
Abstract [en]

Vehicle automated driving systems, capable of performing all dynamic driving tasks are profoundly changing the traffic environment. With increased automation the vehicles are gradually becoming artificial agents that act and interact in conjunction with human agents, creating a pristine social context. This paper addresses the interaction between ‘pedestrian-vehicle’ and ‘driver-vehicle’. The idea is to make interaction as humanlike as possible, to increase safety and a positive user experience. We suggest that concepts describing social attunement in human-human interaction also can be applied to human-vehicle interaction. Social attunement implies a scenario where human and vehicle share intentions, infer goals of the interaction partner, are mutually predictable, and understand performance limitations. Furthermore, we propose the use of an in-vehicle avatar interface to assist in this interaction. A reason for using an avatar is that it can be hypothesised that the user can interact more naturally with an anthropomorphic artificial agent. 

Place, publisher, year, edition, pages
Springer, 2018. Vol. 722, p. 19-22
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Engineering Psychology
Identifiers
URN: urn:nbn:se:ltu:diva-67323DOI: 10.1007/978-3-319-73888-8_4ISI: 000835696800004Scopus ID: 2-s2.0-85040254311OAI: oai:DiVA.org:ltu-67323DiVA, id: diva2:1175884
Conference
1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018; Dubai; United Arab Emirates; 7 - 9 January 2018
Note

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Available from: 2018-01-19 Created: 2018-01-19 Last updated: 2023-05-08Bibliographically approved

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