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Situation awareness in eco-driving
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0003-1177-4119
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2900-9335
2015 (English)In: Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2015 IEEE International Inter-Disciplinary Conference on, IEEE conference proceedings, 2015, 125-131 p.Conference paper, (Refereed)
Abstract [en]

An increasing number of vehicles provide feedbackon eco-driving; information whose purpose it is to increase fuel efficiency in driving. The development of this feedback is relatively novel and there are currently no standards or long-term insights into best design strategies (e.g. leading to a permanent improvement in driving style).

In this paper, we discuss the unexplored relevance of situation awareness (SA) research for eco-driving feedback, highlighting in particular that eco-driving feedback has to be understood as intricately tied into SA. Specifically, we argue that, for the purpose of promoting eco-friendly driving behaviour, the relevant information needs to be part of a driver SA without interfering with safety-critical aspects. We show that this requires eco-feedback systems to possess, themselves, a SA of the traffic situation. This lends support to arguments that SA in a road traffic context is different from SA in the military or aviation domain and takes on a more distributed nature. We conclude by suggesting that head-up displays are a particularly promising interface technology with which to implement the suggestions provided here.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 125-131 p.
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:his:diva-10739DOI: 10.1109/COGSIMA.2015.7108186ISI: 000380447000020Scopus ID: 2-s2.0-84934267415ISBN: 978-1-4799-8015-4 OAI: oai:DiVA.org:his-10739DiVA: diva2:794582
Conference
5th IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), March 9-12, Orlando, USA
Available from: 2015-03-11 Created: 2015-03-11 Last updated: 2016-09-05Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf