Analysis of aging drivers' behaviors navigating with in-vehicle visual display systems

Pauzie, Annie; Marin-Lamellet, Claude

doi:10.1109/vnis.1989.98741

Cited by 18 publications

(8 citation statements)

References 3 publications

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“…Although subjects were permitted to read the map while they drove, they chose to spend more time studying the map before starting to drive (1.55-min study time versus 0.75-min study time for the navigator) and less time using it while driving. Other studies of navigation systems find similar results (21,22). Moreover, these studies find that the visual search of older drivers is particularly affected.…”

Section: Navigation Systemssupporting

confidence: 67%

Behavioral Adaptation, Safety, and Intelligent Transportation Systems

Smiley¹

2000

Transportation Research Record: Journal of the Transportation R

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It is intrinsic to human nature to modify behavior to suit new conditions. How drivers are likely to change the way they drive if their vehicles are equipped with intelligent transportation system (ITS) devices is considered. It is clear from the antilock braking system experience that improvements in safety cannot be predicted on the basis of proof-of-concept studies alone, in which one simply looks at changes in performance of the task being aided, whether that is braking, navigation, or detection of hazards. One also must look at changes in other aspects of the driving task and at the type of driving being done to determine the likely effect on safety. In particular, one should assume that there may be trade-offs of mobility for safety, that is, more driving in more difficult conditions and at higher speeds leading to more crashes. Further, one should expect drivers to attempt to increase productivity while driving, given reduced driving task demand. The prolific use of cellular phones is evidence of this behavior. Research is needed on driver mental models of ITS devices, to ensure that drivers understand how they function. The best design from a mechanistic point of view may not be the most effective for drivers.

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Section: Navigation Systemssupporting

confidence: 67%

Behavioral Adaptation, Safety, and Intelligent Transportation Systems

Smiley¹

2000

Transportation Research Record: Journal of the Transportation R

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“…Distraction caused by such systems may thus differentially affect older drivers negatively. Older drivers have been shown to spend significantly more time looking at navigation displays than younger drivers [28] [8].…”

Section: Older Drivers' Functional Impairmentsmentioning

confidence: 99%

In-vehicle technology functional requirements for older drivers

Rakotonirainy

Steinhardt

2009

Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Older drivers represent the fastest growing segment of the road user population. Cognitive and physiological capabilities diminishes with ages. The design of future in-vehicle interfaces have to take into account older drivers' needs and capabilities. Older drivers have different capabilities which impact on their driving patterns and subsequently on road crash patterns. New in-vehicle technology could improve safety, comfort and maintain elderly people's mobility for longer. Existing research has focused on the ergonomic and Human Machine Interface (HMI) aspects of in-vehicle technology to assist the elderly. However there is a lack of comprehensive research on identifying the most relevant technology and associated functionalities that could improve older drivers' road safety. To identify future research priorities for older drivers, this paper presents: (i) a review of age related functional impairments, (ii) a brief description of some key characteristics of older driver crashes and (iii) a conceptualisation of the most relevant technology interventions based on traffic psychology theory and crash data.

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“…Early research performed on in-vehicle navigation systems has shown that older drivers spend significantly more time looking at navigation displays than younger drivers (Pauzie, Martin-Lamellet, and Trauchessec, 1991;Dingus, Antin, and Hulse, 1989). Experiments were conducted comparing the visual glance frequencies of both elderly and young drivers directed toward a CRT screen with navigation information.…”

Section: Cognitive Processingmentioning

confidence: 99%

The Potential for Advanced Vehicle Systems to Increase the Mobility of Elderly Drivers

Mollenhauer

Dingus

Hulse

1995

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Mobility and self-sufficiency are important aspects of life quality for nearly all people, including those who are elderly. With the dominant role of automobile transportation in the United States, the ability to drive is a key factor in mobility. Issues related to elderly drivers are growing in importance, as the number of them increases. Among the more serious issues are the implications of physical limitations, including eyesight, reaction times, and cogmt1ve processing. A serious need exists to find ways for many elderly people to maintain their ability to drive. This research was performed to determine how emerging in-vehicle technologies might be used to help elderly drivers. A prototype system was developed to present navigation, collision avoidance, and signing information to elderly drivers via an integrated heads-up display (HUD). Thirty-two subjects drove an interactive driving simulator while using the prototype HUD. Subjects drove under two sets of driving conditions: baseline and experimental. Under baseline conditions, drivers simply drove through the simulation and followed the rules of the road. Then, under navigation and braking driving conditions, subjects were required to travel to a destination and maintain a safe following distance when a lead vehicle decelerated. A variety of driver performance measures were collected and analyzed to determine the effects of the information displays on the driving behavior of elderly drivers. Subjective mental workload and other questionnaire responses also were collected. The results are discussed in terms of their effect on the mobility of elderly drivers.

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Analysis of aging drivers' behaviors navigating with in-vehicle visual display systems

Cited by 18 publications

References 3 publications

Behavioral Adaptation, Safety, and Intelligent Transportation Systems

Behavioral Adaptation, Safety, and Intelligent Transportation Systems

In-vehicle technology functional requirements for older drivers

The Potential for Advanced Vehicle Systems to Increase the Mobility of Elderly Drivers

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