Driver Acceptance of False Alarms to Simulated Encroachment
2010 (English)In: HUMAN FACTORS, ISSN 0018-7208, Vol. 52, no 3, 466-476 p.Article in journal (Refereed) Published
Objective: We investigated driver acceptance of alerts to left-turn encroachment incidents that do not produce a crash. If an event that produces a crash is the criterion for a "true" alert, all the alerts we studied are technically false alarms. Our aim was to inform the design of intersection-assist active safety systems. Background: The premise of this study is that it may be possible to overcome driver resistance to alerts that are false alarms by designing systems to issue alerts when and only when drivers would expect and accept them. Method: Participants were passengers in a driving simulator that presented left-turn encroachment incidents. Participant point of view, the direction of encroachment, and postencroachment time (PET) were manipulated to produce 36 near-crash incidents. After viewing each incident, the participant rated the relative acceptability of a hypothetical alert to it. Results: Repeated-measures ANOVA and logistic regression indicate that acceptability varies inversely with PET. At PET intervals less than 2.2 s, driver point of view and encroachment direction interact. At PET intervals more than 2.2 s, alerts to lateral encroachments are more acceptable than alerts to oncoming encroachments. Conclusion: Driver acceptance of alerts by active safety systems will be sensitive to context. Application: This study demonstrates the utility of eliciting subjective criteria to inform system design to match driver (user) expectations. Intersection-assist active safety systems will need to be designed to adapt to the interaction of driver point of view, the direction of encroachment, and PET.
Place, publisher, year, edition, pages
Sage , 2010. Vol. 52, no 3, 466-476 p.
false alarms, active safety systems, alert acceptance, knowledge elicitation, simulation, left-turn encroachment incidents, driver behavior, automation
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-61200DOI: 10.1177/0018720810372218ISI: 000283322800008OAI: oai:DiVA.org:liu-61200DiVA: diva2:360879