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Joseph F. Coughlin

Researcher at Massachusetts Institute of Technology

Publications -  144
Citations -  3376

Joseph F. Coughlin is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Poison control & Population. The author has an hindex of 27, co-authored 125 publications receiving 2748 citations.

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Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers

TL;DR: In this article, the sensitivity of heart rate, skin conductance, and respiration rate as measures of mental workload in a simulated driving environment was examined, and the pattern of results indicates that physiological measures can be sensitive to changes in workload before the appearance of clear decrements in driving performance.
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Sensitivity of physiological measures for detecting systematic variations in cognitive demand from a working memory task: an on-road study across three age groups.

TL;DR: Confidence with which these measures may be applied to assess relative differences in mental workload when developing and optimizing human machine interface (HMI) designs and in exploring their potential role in advanced workload detection and augmented cognition systems is increased.
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A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups

TL;DR: Gaze concentration appears at low levels of cognitive demand prior to the appearance of marked decrements in driving control, and developers of more advanced driver support systems should consider gaze concentration as a measure of driver cognitive workload.
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Gender Differences in Self-Regulation Patterns and Attitudes Toward Driving Among Older Adults

TL;DR: Results indicate that women and men report distinct patterns of self-regulation behaviors, and that women report lower levels of confidence in their driving skills than men, although the difference varies based on whether or not a woman lives alone.
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In-vehicle technology for self-driving cars: Advantages and challenges for aging drivers

TL;DR: Age-related characteristics of sensory, motor, and cognitive functions on the basis of extensive age-related research can provide a familiar to better aging drivers in self-driving cars.