نتایج جستجو برای: driver distraction

تعداد نتایج: 46263  

Journal: :Human factors 2006
Birsen Donmez Linda Ng Boyle John D. Lee

OBJECTIVES An experiment was conducted to assess the effects of distraction mitigation strategies on drivers' performance and productivity while engaged in an in-vehicle information system task. BACKGROUND Previous studies show that in-vehicle tasks undermine driver safety and there is a need to mitigate driver distraction. METHOD An advising strategy that alerts drivers to potential danger...

2007
David L. Strayer Frank A. Drews

Our research examined the effects of handsfree cell-phone conversations on simulated driving. We found that even when participants looked directly at objects in the driving environment, they were less likely to create a durable memory of those objects if they were conversing on a cell phone. This pattern was obtained for objects of both high and low relevance, suggesting that very little semant...

2007
Johan Engström Gustav Markkula

Driver errors related to visual and cognitive distraction were studied in the context of the Lane Change Test (LCT). New performance metrics were developed in order to capture the specific effects of visual and cognitive distraction. In line with previous research, it was found that the two types of distraction impaired driving in different ways. Visual, but not cognitive, distraction led to re...

Journal: :Human factors 2008
Dario D. Salvucci Joanna Beltowska

OBJECTIVE We report an experiment and a theoretical analysis concerning the effects of an exclusively cognitive task, specifically a memory rehearsal task, on driver performance. BACKGROUND Although recent work on driver distraction has elucidated the sometimes significant effects of cognitive processing on driver performance, these studies have typically mixed cognitive with perceptual and m...

Journal: :Information Fusion 2011
Amardeep Sathyanarayana Pinar Boyraz John H. L. Hansen

Although there is currently significant development in active vehicle safety (AVS) systems, the number of accidents, injury severity levels and fatalities has not reduced. In fact, human error, low performance, drowsiness and distraction may account for a majority in all the accident causation. Active safety systems are unaware of the context and driver status, so these systems cannot improve t...

Journal: :Human factors 2009
Joel M. Cooper Ivana Vladisavljevic Nathan Medeiros-Ward Peter T. Martin David L. Strayer

OBJECTIVE The purpose of this study was to explore the interrelationship between driver distraction and characteristics of driver behavior associated with reduced highway traffic efficiency. BACKGROUND Research on the three-phase traffic theory and on behavioral driving suggests that a number of characteristics associated with efficient traffic flow may be affected by driver distraction. Prev...

Journal: :Computers, materials & continua 2022

Traffic accidents are caused by driver fatigue or distraction in many cases. To prevent accidents, several low-cost hypovigilance (hypo-V) systems were developed the past based on a multimodal-hybrid (physiological and behavioral) feature set. Similarly this paper, real-time inattention (Hypo-Driver) detection system is proposed through multi-view cameras biosignal sensors to extract hybrid fea...

2006
Birsen Donmez Linda Ng Boyle John D. Lee Daniel V. McGehee

Studies were conducted to assess driver acceptance of and trust in distraction mitigation strategies. Previous studies have shown that in-vehicle tasks undermine driver safety, and that there is a need for strategies to reduce the effects of in-vehicle distractions. Trust and acceptance of such strategies strongly influence their effectiveness. Different strategies intended to reduce distractio...

2013
Stefan Griesche Marc Dziennus

The paper presents a driver model which classifies visual distraction based on the detection of atypical driving behavior. The model forwards the information to a driver adaptive collision mitigation system (CMS) and activates the acoustic warning earlier in case of distraction. Therefore the model requires the knowledge of the normal driving behavior. For that reason we introduce a design meta...

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