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The Development of a Method to Assess the Effects of Traffic Situation and Time Pressure on Driver Information Preferences
University of Southampton.
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.ORCID iD: 0000-0002-1849-9722
Linköping Universitet.
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2015 (English)In: Engineering Psychology and Cognitive Ergonomics: 12th International Conference, EPCE 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings / [ed] Don Harris, Springer, 2015, 3-12 p.Conference paper (Refereed)
Abstract [en]

Contemporary Driving Automation (DA) is quickly approaching a level where partial autonomy will be available, relying on transferring control back to the driver when the operational limits of DA is reached. To explore what type of information drivers might prefer in control transitions an online test was constructed. The participants are faced with a set of still pictures of traffic situations of varying complexity levels and with different time constraints assituations and time available is likely to vary in real world scenarios. The choices drivers made were then assessed with regards to the contextual and temporal information available to participants. The results indicate that information preferences are dependent both on the complexity of the situation presented as well as the temporal constraints. The results also show that the different temporal and contextual conditions had an effect on decision-making time, where participants orient themselves quicker in the low complexity situations or when the available time is restricted. Furthermore, the method seem to identify changes in behaviour caused by varying the traffic situation and external time pressure. If the results can be validated against a more realistic setting, this particular method may prove to be a cost effective, easily disseminated tool which has potential to gather valuable insights about what information drivers prioritize when confronted with different situations.

Place, publisher, year, edition, pages
Springer, 2015. 3-12 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9174
Keyword [en]
Driver information, Selection, Driver, Message, Decision process, Electronic driving aid
National Category
Applied Psychology
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-7921DOI: 10.1007/978-3-319-20373-7_1ScopusID: 2-s2.0-84947279717ISBN: 9783319203720 (print)OAI: oai:DiVA.org:vti-7921DiVA: diva2:817558
Conference
12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015; Los Angeles; United States; 2 August 2015 through 7 August 2015
Available from: 2015-06-05 Created: 2015-06-05 Last updated: 2016-08-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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More styles
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