Attentional demand requirements of an automobile moving-map navigation system

Dingus, Thomas A.; Hulse, Melissa C.; Antin, Jonathan F.; Wierwille, Walter W.

doi:10.1016/0191-2607(89)90013-7

Cited by 157 publications

(96 citation statements)

References 4 publications

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“…Dingus et al, 1989). Finally, in order to facilitate behavioural change for a hypothetical IVIS smart driving advisor (such as Foot-LITE), the feedback provided should be positive as well as negative (van Driel et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

“…Many functions of modern satellite navigation systems take considerably longer to complete and require more glances compared to conventional controls and displays (such as headlights and windscreen wipers, or visually checking the speed and fuel gauge). A series of related studies (Antin, 1993;Dingus et al, 1989;Wierwille et al, 1991) attempted to assess the visual attentional demand of moving-map displays relative to other in-car tasks.…”

Section: Satellite Navigation Systemsmentioning

confidence: 99%

“…However, it was also found that drivers adapt to changes in driving demand by altering their scan patterns, suggesting that there may be enough spare capacity to operate a navigation display (Antin, 1993). Dingus et al (1989) suggested some design improvements to reduce the demand of navigation displays (and hence their impact on the driving task). These were primarily aimed at improving the availability of information on the displays, to be more compatible with rategy.…”

Section: Satellite Navigation Systemsmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

Section: Satellite Navigation Systemsmentioning

confidence: 99%

Section: Satellite Navigation Systemsmentioning

confidence: 99%

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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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“…), can also change the demand of the primary task of driving. There is also evidence that in-cab tasks differ in the visual demand they place on the driver (Rockwell, 1988;Dingus et al, 1989). It is clear that virtually any in-cab task will demand greater attention away from the driving task than driving without in-cab device use (Dingus & Hulse, 1993).…”

Section: Introductionmentioning

confidence: 99%

Heavy Vehicle Driver Workload Assessment: Task 6: Baseline Data Study

Tijerina¹,

Kiger²,

Rockwell³

et al. 1996

PsycEXTRA Dataset

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This report consists of an empirical establishment of heavy vehicle driver baseline performance data. Researchers interested in highway safety have called out the need for rudimentary workload data so that they might have a basis for comparison of workload associated with particular in-cab high technology devices. Thirty (30) professional drivers participated and were asked to perform a series of tasks during over-the-road drives involving both open road driving and close car following in both day and night conditions. The requested tasks included looking at right and left mirrors, adjusting CB volume, changing CB frequency, manually tuning the radio, adjusting radio volume, reading clock, reading air pressure, adjusting the heating or air conditioning, and calculating available driving hours. Drivers were measured with respect to visual allocation; steering, accelerator, and brake inputs; speed and headway maintenance; and lanekeeping. Results indicated that, to a varying degree, visual allocation measures, several steering measures, speed variance, and several lane position measures are preferable measures for further workload assessment.

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Attentional demand requirements of an automobile moving-map navigation system

Cited by 157 publications

References 4 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

Heavy Vehicle Driver Workload Assessment: Task 6: Baseline Data Study

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