The emotional side of cognitive distraction: Implications for road safety

Chan, Michelle; Singhal, Anthony

doi:10.1016/j.aap.2012.04.004

Cited by 110 publications

(60 citation statements)

References 29 publications

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“…Common sources of distraction include cell-phone use, use of in-vehicle information systems, and interactions with passengers. Distraction can also occur when highly salient objects (e.g., a roadside billboard with emotional content) inadvertently draw the attention of drivers (Chan and Singhal, 2013;Megías et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Emotion matters: Implications for distracted driving

Chan

Singhal

2015

Safety Science

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Section: Introductionmentioning

confidence: 99%

Emotion matters: Implications for distracted driving

Chan

Singhal

2015

Safety Science

Self Cite

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“…The OSPAN task creates an additional load to the working memory of the subject and aims to pull the attention of the driver off the road and the driving task. Note that we have not aimed at any positive or negative valence effect of the cognitive distraction, for example as performed in [38] by selecting words related to positive and negative emotions. It is also worth mentioning once again that, since we do not have any ground truth for whether the driver is actually distracted or not, our automatic system aims at predicting the cognitive load, which we know that exists during the corresponding driving condition.…”

Section: Driving Conditionsmentioning

confidence: 99%

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Yüce

Gao

Cuendet

et al. 2017

IEEE Trans. Affective Comput.

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Abstract-Driving requires the constant coordination of many body systems and full attention of the person. Cognitive distraction (subsidiary mental load) of the driver is an important factor that decreases attention and responsiveness, which may result in human error and accidents. In this paper, we present a study of facial expressions of such mental diversion of attention. First, we introduce a multi-camera database of 46 people recorded while driving a simulator in two conditions, baseline and induced cognitive load using a secondary task. Then, we present an automatic system to differentiate between the two conditions, where we use features extracted from Facial Action Unit (AU) values and their cross-correlations in order to exploit recurring synchronization and causality patterns. Both the recording and detection system are suitable for integration in a vehicle and a real-world application, e.g. an early warning system. We show that when the system is trained individually on each subject we achieve a mean accuracy and F-score of ∼ 95%, and for the subject independent tests ∼ 68% accuracy and ∼ 66% F-score, with person-specific normalization to handle subject dependency. Based on the results, we discuss the universality of the facial expressions of such states and possible real-world uses of the system.

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“…Research into the ramifications of human limits of attention has examined a number of areas of human performance. There has been a great deal of study and research regarding distractions and how they can impact driving safety [21]. In a similar vein, distractions in the operating room can result in adverse outcomes for patients [22].…”

Section: Perceptual Distortionmentioning

confidence: 99%

Mental Chronometry in Officer Involved Shootings

Hough

2017

FRCIJ

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Mental chronometry, or the examination of the time it takes a human to perceive and react to a stimulus, has been studied by researchers for more than a century. The reaction time to commence and cease shooting a firearm varies to some extent by individual and is impacted by internal psychological and physiological aspects of the person and by external environmental factors. Public safety officers and others, such as combat-deployable military personnel, must be cognizant of the factors affecting high-stakes decision-making and reactionary threat response. This extends to the design of training programs, the development of comprehensive policy regarding force usage and defensive tactics, and the necessary knowledge for after action investigation of such events. While the psychological literature is robust on the issue of attention and mental chronometry, public safety trainers and the curriculums in law enforcement recruit academies have not adequately expanded topics to explain the relevance for law enforcement officers. Because of this gap within the criminal justice literature, the paper does not focus solely on previous research evidence.

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The emotional side of cognitive distraction: Implications for road safety

Cited by 110 publications

References 29 publications

Emotion matters: Implications for distracted driving

Emotion matters: Implications for distracted driving

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Mental Chronometry in Officer Involved Shootings

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