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Shouldn't cars react as drivers expect?
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
Research Autoliv Development AB, Sweden.
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
2007 (English)In: PROCEEDINGS of the Fourth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Iowa City, Iowa: Public Policy Center, University of Iowa , 2007Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this project is to develop and test a multi-method empirical approach for predicting drivers- assessments of the level of acceptability of a warning issued in response to accidents, near-accidents, and other incidents. The role of humans (drivers) in the pre-crash phase means that systems that protect occupants and pedestrians must be seen as distributed, cognitive systems. Driver acceptance therefore has to be an important design goal. One obstacle to acceptance is the human dislike for false alarms. An approach to overcoming driver dislike for false alarms is to focus on driver expectations and to design systems to issue alarms when and only when the driver is likely to accept them. In this paper we discuss one such approach.

Place, publisher, year, edition, pages
Iowa City, Iowa: Public Policy Center, University of Iowa , 2007.
Keyword [en]
Driver acceptance, pre-crash warning
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-41072Local ID: 55038OAI: oai:DiVA.org:liu-41072DiVA: diva2:261922
Conference
4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design. July 9-12, Stevenson, WA. USA
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2011-05-11Bibliographically approved
In thesis
1. Using False Alarms when Developing Automotive Active Safety Systems
Open this publication in new window or tab >>Using False Alarms when Developing Automotive Active Safety Systems
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis develops and tests an empirical method to quantifying drivers’ level of acceptance for alerts issued by automotive active safety systems. The method uses drivers’ subjective level of acceptance for alerts that are literally false alarms as a measure to guide the development of alerting criteria that can be used by active safety systems. Design for driver acceptance aims at developing systems that overcome drivers’ dislike for false alarms by issuing alerts only when drivers finds them reasonable and therefore are likely to accept them. The method attempts to bridge the gap between field experiments with a high level of ecological validity and lab based experiments with a high level of experimental control. By presenting subjects with video recordings of field data (e.g., traffic incidents and other situations of interest), the method retains high levels of both experimental control and ecological validity.

This thesis first develops the theoretical arguments for the view that false alarms are not only unavoidable, but also that some false alarms are actually useful and, hence, desirable as they provide useful information that can be used (by the proposed method) to assess driver acceptance of active safety systems. The second part of this thesis consists of a  series of empirical studies that demonstrates the application of the assessment method. The three empirical studies showed that drivers’ subjective level of acceptance for alerts that are literally false alarms are a useful measure that can guide system designers in defining activation criteria for active safety systems. The method used to collect the driver’s subjective acceptance levels has also been shown to produce reliable and reproducible data that align with the view of the drivers who experienced the situations in the field. By eliciting responses from a large number of observers, we leverage the high cost of field data and generate sample sizes that are amenable to statistical tests of significance.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2011. 58 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1374
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-68109 (URN)978-91-7393-153-3 (ISBN)
Public defence
2011-05-26, Visionen, hus B,, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2011-05-11 Created: 2011-05-11 Last updated: 2011-05-11Bibliographically approved

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Källhammer, Jan-ErikSmith, KipHollnagel, Erik

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