Safety implications of providing real-time feedback to distracted drivers

Donmez, Birsen; Boyle, Linda Ng; Lee, John D.

doi:10.1016/j.aap.2006.10.003

Cited by 161 publications

(109 citation statements)

References 26 publications

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“…Whilst it has been suggested that drivers might have up to 50% spare attentional capacity when driving (Hughes and Cole, 1986), visual competition in driving is already high, and is a crucial factor in driving performance (e.g., Antin, 1993). With the proliferation of IVIS and similar nomadic devices, many authors have expressed their concerns about the potential distraction or overload which such devices may cause (Donmez et al, 2007;Harbluk et al, 2007;Horberry et al, 2006). Performance problems may be especially pronounced if workload is already high (e.g., in urban driving; Liu and Lee, 2006) or if the driver has a lower capacity to respond (e.g., in the elderly; May et al, 2005;Sixsmith and Sixsmith, 1993).…”

Section: In-vehicle Information Systemsmentioning

confidence: 99%

Safe driving in a green world: A review of driver performance benchmarks and technologies to support ‘smart’ driving

2011

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Road transport is a significant source of both safety and environmental concerns.With climate change and fuel prices increasingly prominent on social and political agendas, many drivers are turning their thoughts to fuelenvironmentally friendly) driving practices. Many vehicle manufacturers are satisfying this demand by offering green driving feedback or advice tools. However, there is a legitimate concern regarding the effects of such devices on road safety both from the point of view of change in driving styles, as well as potential distraction caused by the in-vehicle feedback. In this paper, we appraise the benchmarks for safe and green driving, concluding that whilst they largely overlap, there are some specific circumstances in which the goals are in conflict. We go on to review current and emerging in-vehicle information systems which purport to affect safe and/or green driving, and discuss some fundamental ergonomics principles for the design of such devices. The results of the review are being used in the Foot-LITE project, aimed at that is safe and green driving.

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Section: In-vehicle Information Systemsmentioning

confidence: 99%

Safe driving in a green world: A review of driver performance benchmarks and technologies to support ‘smart’ driving

2011

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“…Off-road glances exceeding two seconds during a safety-critical event doubles the risk of crashes/near-crashes (Klauer et al, 2006). Controlled experiments also showed that long off-road glances lead to larger lane deviations and slower responses to lead-vehicle braking (Dingus et al, 1989;Donmez et al, 2007). In general, individual glances that exceed two seconds have been considered as critical for secondary tasks.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Glance Behavior when Interacting with In-Vehicle Devices: Implications from a Simulator Study

Peng

Boyle

Ghazizadeh

et al. 2013

Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: This study examined the effects of text entry and reading on drivers' eye glance behavior, as influenced by text length and presence of ambient text (i.e., text around targeted text). A simulator study was conducted with 28 drivers. The findings showed that text entry tasks required longer eyes-off-road (EOR) time than text reading tasks. The presence of ambient text also increased the total EOR time for text reading. Tasks with shorter text required shorter individual glances, but even the shortest text entry tasks resulted in long glances for those who entered text in large chunks. Thus, shortening the text length alone may not ensure safe glance behavior and other countermeasures may need to be considered.

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“…운전자 요인(human factor)이 교통사고의 주요 원인이라 고 널리 알려져 있다 (Treat et al, 1977) (Ahlström and Kircher, 2010;Zhang et al, 2008;Donmez et al, 2007). …”

Section: Introductionunclassified

Effect of Driver's Cognitive Distraction on Driver's Physiological State and Driving Performance

Junhoe¹,

Lee²

2012

Journal of the Ergonomics Society of Korea

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Objective: The aim of this study is to investigate effect of driver's cognitive distraction on driver's physiological state and driving performance, and then to determine parameters appropriate for detecting the cognitive distraction. Background: Driver distraction is a major cause of traffic accidents and poses a serious threat to traffic safety due to ever increasing use of in-vehicle information systems and mobile phones during driving. Cognitive distraction, among four different types of distractions, prevents a driver from processing traffic information correctly and adapting to change in surround vehicle behavior in time. However, the cognitive distraction is more difficult to detect because it normally does not involve significant change in driver behavior. Method: A full-scale driving simulator was used to create virtual driving environment and situations. Participants in the experiment drove the driving simulator in three different conditions: attentive driving with no secondary task, driving and conducting secondary task of adding numbers, and driving and conducting secondary task of conversing with an experimenter. Parameters related with driver's physiological state and driving performance were measured and analyzed for their change. Results: The experiment results show that driver's cognitive distraction, induced by secondary task of addition and conversation during driving, increased driver's cognitive workload, and indeed brought change in driver's physiological state and degraded driving performance. Conclusion: The galvanic skin response, pupil size, steering reversal rate, and driver reaction time are shown to be statistically significant for detecting cognitive distraction. The appropriate combination of these parameters will be used to detect the cognitive distraction and estimate risk of traffic accidents in real-time for a driver distraction warning system.

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Safety implications of providing real-time feedback to distracted drivers

Cited by 161 publications

References 26 publications

Safe driving in a green world: A review of driver performance benchmarks and technologies to support ‘smart’ driving

Safe driving in a green world: A review of driver performance benchmarks and technologies to support ‘smart’ driving

Factors Affecting Glance Behavior when Interacting with In-Vehicle Devices: Implications from a Simulator Study

Effect of Driver's Cognitive Distraction on Driver's Physiological State and Driving Performance

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