2016 journal article
Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving
HUMAN FACTORS, 58(6), 944–958.
author keywords: driving behavior; visual-manual distraction; cognitive distraction; classification problems; support vector machines
MeSH headings : Adult; Attention / physiology; Automobile Driving; Cognition; Hand; Humans; Motor Activity; Psychomotor Performance / physiology; Support Vector Machine; Visual Perception
TL;DR:
The two-stage strategy was found to be sensitive for identifying states of visual-manual distraction; however, the strategy also produced a higher false alarm rate than direct-mapping and needs to account for strategic levels of vehicle control.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
Background: Prior studies have demonstrated unique driver behavior outcomes when visual and cognitive distraction occurs simultaneously as compared to the occurrence of one form of distraction alone. This situation implies additional complexity for the design of robust distraction detection systems and vehicle automation for hazard mitigation.