Sensitivity of eye-movement measures to in-vehicle task difficulty

Victor, Trent; Harbluk, Joanne L.; Engström, Johan

doi:10.1016/j.trf.2005.04.014

Cited by 404 publications

(287 citation statements)

References 18 publications

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“…(This most frequent fixation location was measured during the baseline drive and used for data extraction across all drives). PRC has previously been demonstrated to be a sensitive indicator of visual distraction (Victor, Harbluk and Engström, 2005) with lower values indicating less attention focused towards the visual demand of driving. The NASA TLX, multi dimensional workload scale was administered immediately after each of the four drives (no system, visual, force and stiffness) to obtain an estimate of driver workload during each drive and hence an indication of the workload associated with use of a particular system.…”

Section: Data Collectionmentioning

confidence: 99%

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Jamson

Hibberd

Jamson

2015

Transportation Research Part C: Emerging Technologies

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Whilst driving is inherently a safety critical task, awareness of fuel efficient driving techniques has gained popularity in both the public and commercial domains. Green driving, whether motivated by financial or environmental savings, has the potential to reduce the production of greenhouse gases by a significant amount. This paper focusses on the interaction between the driver and their vehicle -what type of eco driving information is easy to use and learn whilst not compromising safety. A simulator study evaluated both visual and haptic eco driving feedback systems in the context of hill driving. The ability of drivers to accurately follow the advice, as well as their propensity to prioritise it over safe driving was investigated. We found that any type of eco driving advice improved performance and whilst continuous real time visual feedback proved to be the most effective, this modality obviously reduces attention to the forward view and increases subjective workload. On the other hand, the haptic force system had little effect on reported workload, but was less effective that the visual system. A compromise may be a hybrid system that adapts to drivers' performance on an on going basis.

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Section: Data Collectionmentioning

confidence: 99%

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Jamson

Hibberd

Jamson

2015

Transportation Research Part C: Emerging Technologies

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“…The gaze of the participant was coded with center, left, right, or other. Out of the output file, the percent road center (PRC), which is defined as the percentage of gaze data points that falls within the area of the road center (Victor et al, 2005), for each subject and each trial was calculated. The value of PRC is the cumulative time of fixation in the center over the total time.…”

Section: Data Analysis and Dependent Measuresmentioning

confidence: 99%

Intersection assistance: A safe solution for older drivers?

Dotzauer¹,

Caljouw

Waard

et al. 2013

Accident Analysis & Prevention

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Abstract:Within the next few decades, the number of older drivers operating a vehicle will increase rapidly (Eurostat, 2011). As age increases so does physical vulnerability, age-related impairments, and the risk of being involved in a fatal crashes. Older drivers experience problems in driving situations that require divided attention and decision making under time pressure as reflected by their overrepresentation in at-fault crashes on intersections. Advanced Driver Assistance Systems (ADAS) especially designed to support older drivers crossing intersections might counteract these difficulties. In a longer-term driving simulator study, the effects of an intersection assistant on driving were evaluated. 18 older drivers (M= 71.44 years) returned repeatedly completing a ride either with or without a support system in a driving simulator. In order to test the intersection assistance, eight intersections were depicted for further analyses. Results show that ADAS affects driving. Equipped with ADAS, drivers allocated more attention to the road center rather than the left and right, crossed intersections in shorter time, engaged in higher speeds, and crossed more often with a critical *Manuscript Click here to view linked References 2 time-to-collision (TTC) value. The implications of results are discussed in terms of behavioral adaptation and safety. Keywords:intersection assistance, older drivers, behavioral adaptation, safety, ADAS Highlights: More attention is allocated to the road center when driving with the system  Intersection assistance decreases intersection crossing time  Drivers equipped with ADAS cross intersections more often with a critical TTC 3

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“…Studies on driver distraction indicate that drivers' time-sharing strategies for allocating their visual attention between the road scene and the visual display of an invehicle task are influenced by the visual complexity of the information presentation and the driving task demands (Lansdown, 2001;Tsimhoni & Green, 2001;Victor, Harbluk, & Engström, 2005;Wierwille, 1993). If costs for visual reorientation are high, as for example when in-vehicle tasks place high demands on visual search (e.g., reading a rotating map of a route navigation display), the duration of drivers' single glances to the in-vehicle display increases (Hoffman, Lee, McGehee, Macias, & Gellatly, 2005;Lansdown, 2000;Tsimhoni & Green, 2003;Victor et al, 2005).…”

Section: Measurement Of Drivers' Reliance On the Lane Keeping Assistamentioning

confidence: 99%

“…If costs for visual reorientation are high, as for example when in-vehicle tasks place high demands on visual search (e.g., reading a rotating map of a route navigation display), the duration of drivers' single glances to the in-vehicle display increases (Hoffman, Lee, McGehee, Macias, & Gellatly, 2005;Lansdown, 2000;Tsimhoni & Green, 2003;Victor et al, 2005). On the other hand, drivers usually react to increasing driving task demands with a higher frequency of shorter glances to the in-vehicle display (Lansdown, 2001;Tsimhoni & Green, 2001Wierwille, 1993;Wikman, Nieminen, & Summala, 1998).…”

Section: Measurement Of Drivers' Reliance On the Lane Keeping Assistamentioning

confidence: 99%

Drivers’ Reliance on Lane-Keeping Assistance Systems as a Function of the Level of Assistance

Popken

Krems

2015

Z. Arb. Wiss.

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Sensitivity of eye-movement measures to in-vehicle task difficulty

Cited by 404 publications

References 18 publications

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Intersection assistance: A safe solution for older drivers?

Drivers’ Reliance on Lane-Keeping Assistance Systems as a Function of the Level of Assistance

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