Surrogate Measures of Visual Demand while Driving

Farber, Eugene; Blanco, Myra; Foley, Jim; Curry, Reates; Greenberg, Jeff; Serafin, Colleen

doi:10.1177/154193120004402013

Cited by 12 publications

(8 citation statements)

References 2 publications

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“…The practice session was done until the subject successfully completed the task once. 3 During the demonstration and practice training sessions, the subject was allowed to ask the moderator questions regarding use of the system. The subject then performed the task independently, with no comments or interaction with the experimenters.…”

Section: Basic Protocolmentioning

confidence: 99%

“…Training and experience, however, are important research issues for performance of in-vehicle tasks while driving, and should be further examined in future work. 3 A successful trial was defined as the subject reaching the goal of the task that he or she was asked to perform. "Success" was based solely on this criterion, and not on keeping within a lane, or detecting visual events.…”

Section: Number Of Speed Deviationsmentioning

confidence: 99%

See 1 more Smart Citation

An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems

Angell

Young

Hankey

et al. 2002

SAE Technical Paper Series

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This study examined whether the effect of subsidiary tasks on driving performance can be predicted from stationary (static) testing. Alternative methods for assessing the performance of drivers during their use of in-vehicle information systems were examined. These methods included static testing in stationary vehicles, as well as dynamic, on-road testing. The measures that were obtained from static tests were evaluated in terms of how well they could predict measures obtained from driving performance during on-road testing (which included concurrent use of secondary information systems). The results indicated that measures obtained in static test settings were highly correlated with corresponding measures obtained from on-road performance testing. Also, the regression slopes and intercepts of on-road driving performance measures when predicting on-road lane deviations were more closely approximated under static conditions which required drivers to attend to concurrent, driving-like activities as well as secondary tasks. It is suggested that tests using multiple measures, together with a multivariate model, may hold the most promise for predicting eventual on-road driver performance in the early development of in-vehicle information systems. Although additional research and theoretical development are required, this research demonstrates that a set of relatively simple measures obtained analytically and from static testing can be used even now to help guide early system development.

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Section: Basic Protocolmentioning

confidence: 99%

Section: Number Of Speed Deviationsmentioning

confidence: 99%

An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems

Angell

Young

Hankey

et al. 2002

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

“…Research has only recently begun to address the strength of the relationship of metrics in simulators to actual on-road driving performance (Farber, et al, 2000;McGinty, et al, 2001;Hashimoto, & Atsumi, 2001;Angell, et al, 2002;CAMP, 2005). It is also often assumed that a single static variable (e.g., time to complete a task) can adequately predict dynamic driver performance during secondary tasks (SAE, 2004).…”

Section: Introductionmentioning

confidence: 99%

Road-to-Lab: Validation of the Static Load Test for Predicting On-Road Driving Performance While Using Advanced In-Vehicle Information and Communication Devices

Young

Aryal

Muresan

et al. 2005

Driving Assessment 2005 : Proceedings of the 3rd International Driving Symposium on Human Factors in Driver Assessment, Trainin

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Summary: Information, communication, and navigation devices need to be evaluated for ease-of-use and safety while driving. Lab tests, if validated, can evaluate prototype designs faster, more economically, and earlier than on-road tests. The Static Load Test was evaluated for its ability to predict on-road driver performance while using in-vehicle devices. In this test, participants perform various in-vehicle tasks in a lab while viewing a videotaped road scene on a monitor, tapping a brake pedal when a central or peripheral light is observed. For the on-road comparison test, the device, tasks, and lights are the same, but the participants also drive the vehicle while performing the tasks and responding to the lights. In both the lab and road tests, ten driver performance variables were measured. Our goal was to produce a linear model to predict an on-road variable from the lab data with low residual error, high percent variance explained, and few errors in classifying tasks as meeting or not meeting on-road driver performance criteria. Separate test data from a replicated Static Load Test at an independent lab were used to further validate the models. The results indicate a simple, inexpensive, and low-fidelity Static Load Test can accurately predict a number of on-road driver performance variables suitable for assessing the safety and ease-of-use of advanced in-vehicle devices while driving.

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“…Most of these assessed the visual workload, comparing different kinds of information presentation, such as route information [21], [22] or information displayed on a multifunction information system, including navigation; e-mail; communication modules; and independent audio, climate, and cell phone displays [23]. The most commonly used measurement techniques were occlusion [24], frequency of glances to function location, glance duration, and total EORT [25]. All studies led to the same conclusion: visually demanding tasks carry the highest degree of risk compared with other tasks performed in a vehicle.…”

Section: A Visual Attentionmentioning

confidence: 99%

Impact of In-Vehicle Displays Location Preferences on Drivers' Performance and Gaze

Olaverri-Monreal

Hasan

Bulut

et al. 2014

IEEE Trans. Intell. Transport. Syst.

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Advanced driver assistance systems (ADAS) and driver information systems (DIS) do not always comply with the intended driver safety enhancement. Even if they aim to augment the driver's awareness of the surrounding environment, perceiving this information requires the occasional attention diversion from the road, which could lead to a loss of vehicle control if the total eyes-off-road time exceeds the National Highway Traffic Safety Administration (NHTSA) recommendation for glances away from the roadway. Additionally, technologies that can be found in other mobile environments, smartphones, and tablets are increasingly being integrated into cars, providing a necessary facet of study and continued research in their effects. We addressed this question by analyzing differential preferences for the layout of DIS and ADAS compared with existing ones through a card-sorting experiment. To validate our data, we additionally studied the drivers' performance and gaze with the preferred locations for in-vehicle information through gaze location and speed metrics measurements.Our validation process showed that the time the drivers needed to find the conveyed information in the preferred layout was within the recommended time of the NHTSA Guidelines. Drivers' preferences with regard to the functional layout of current DIS and ADAS compared with existing ones did not essentially differ from the layouts that are currently on the market. However, including mobile applications and social media in a vehicular context was not considered necessary.Index Terms-Information visualization, in-vehicle displays, vehicular user interfaces.

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Surrogate Measures of Visual Demand while Driving

Cited by 12 publications

References 2 publications

An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems

An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems

Road-to-Lab: Validation of the Static Load Test for Predicting On-Road Driving Performance While Using Advanced In-Vehicle Information and Communication Devices

Impact of In-Vehicle Displays Location Preferences on Drivers' Performance and Gaze

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