Usage and perceived effectiveness of fatigue countermeasures for professional and nonprofessional drivers

Gershon, Pnina; Shinar, David; Oron-Gilad, Tal; Parmet, Yisrael; Ronen, Adi

doi:10.1016/j.aap.2010.10.027

Cited by 51 publications

(35 citation statements)

References 18 publications

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“…The reasons for this are not fully understood and appear counterintuitive considering consistent results from experimental research that indicate cellphone conversations delay drivers’ reaction time and may affect other driving performance measures (Horrey and Wickens 2006; Strayer and Drews 2004; Strayer, Drews, and Crouch 2006; Strayer, Drews, and Johnston 2003). One well-considered issue that may reconcile this apparent conflict may be the phone’s use by some drivers to combat monotony and fatigue under some circumstances (Atchley and Chan 2011; Gershon et al 2011). …”

Section: Introductionmentioning

confidence: 99%

Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems

2016

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There is limited research on trade-offs in demand between manual and voice interfaces of embedded and portable technologies. Mehler et al. identified differences in driving performance, visual engagement and workload between two contrasting embedded vehicle system designs (Chevrolet MyLink and Volvo Sensus). The current study extends this work by comparing these embedded systems with a smartphone (Samsung Galaxy S4). None of the voice interfaces eliminated visual demand. Relative to placing calls manually, both embedded voice interfaces resulted in less eyes-off-road time than the smartphone. Errors were most frequent when calling contacts using the smartphone. The smartphone and MyLink allowed addresses to be entered using compound voice commands resulting in shorter eyes-off-road time compared with the menu-based Sensus but with many more errors. Driving performance and physiological measures indicated increased demand when performing secondary tasks relative to ‘just driving’, but were not significantly different between the smartphone and embedded systems. Practitioner Summary: The findings show that embedded system and portable device voice interfaces place fewer visual demands on the driver than manual interfaces, but they also underscore how differences in system designs can significantly affect not only the demands placed on drivers, but also the successful completion of tasks.

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Section: Introductionmentioning

confidence: 99%

Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems

2016

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“…Psychological fatigue is insidious as drivers are aware of their psychological state (Nordbakke & Sagberg, 2007) yet still continue with their journey. Drivers often employ self-initiated passive countermeasures such as playing music or winding down the windows in an attempt to decrease fatigue (Gershon, Shinar, Oron-Gilad, Parmet, & Ronen, 2011). However, Horne and Reyner (1998) report that the effects of these methods are often short-lived.…”

Section: Introductionmentioning

confidence: 99%

“…OronGilad & Shinar (2000) report military truck drivers list engaging in a cell-phone conversation useful in countering the effects of fatigue. Gershon et al (2011) noted that conversations with a passenger were a preferred method to maintain alertness among non-commercial drivers. Yet the driving safety literature reports an increase in crash risk because of distraction from using the cell phone.…”

Section: Introductionmentioning

confidence: 99%

A Strategically Timed Verbal Task Improves Performance and Neurophysiological Alertness During Fatiguing Drives

2013

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PrécisEngagement in a concurrent task, such as a verbal task while driving has been found to improve driving performance during periods of monotonous driving. This study extends this research to longer, fatiguing monotonous drives. Neurophysiological recordings show that a verbal task improved driver alertness when performance also improved. Background: Previous research showed that a secondary task can improve performance on a

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“…Most of the work done so far in this area has addressed such challenges in isolation and at a high abstract level [28,12,30,8], has studied vehicle sensor data [37], driver feedback [17,20,36,24,38,14] (in a real or simulated environment) or performed physiological assessments [31,32]. The latter two strands of work entirely focusses on driver perception and experience; moreover borrowing from separate traditions of cognitive and physiological science.…”

Section: Motivationmentioning

confidence: 99%

A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles

Shaikh

Krishnan

2012

Electron. Proc. Theor. Comput. Sci.

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Semi-autonomous vehicles are increasingly serving critical functions in various settings from mining to logistics to defence. A key characteristic of such systems is the presence of the human (drivers) in the control loop. To ensure safety, both the driver needs to be aware of the autonomous aspects of the vehicle and the automated features of the vehicle built to enable safer control. In this paper we propose a framework to combine empirical models describing human behaviour with the environment and system models. We then analyse, via model checking, interaction between the models for desired safety properties. The aim is to analyse the design for safe vehicle-driver interaction. We demonstrate the applicability of our approach using a case study involving semi-autonomous vehicles where the driver fatigue are factors critical to a safe journey

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Usage and perceived effectiveness of fatigue countermeasures for professional and nonprofessional drivers

Cited by 51 publications

References 18 publications

Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems

Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems

A Strategically Timed Verbal Task Improves Performance and Neurophysiological Alertness During Fatiguing Drives

A Framework for Analysing Driver Interactions with Semi-Autonomous Vehicles

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