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Kevin Gregory

Researcher at San Jose State University

Publications -  7
Citations -  170

Kevin Gregory is an academic researcher from San Jose State University. The author has contributed to research in topics: Alertness & Psychomotor vigilance task. The author has an hindex of 4, co-authored 7 publications receiving 104 citations.

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Journal ArticleDOI

A review of the environmental parameters necessary for an optimal sleep environment

TL;DR: In this article, the authors conduct a review of the evidence surrounding the optimal characteristics for the sleep environment in the categories of noise, temperature, lighting, and air quality in order to provide specific recommendations for each of these components.

Risk of Performance Decrements and Adverse Health Outcomes Resulting from Sleep Loss, Circadian Desynchronization, and Work Overload

TL;DR: Efforts are needed to identify the environmental and mission conditions that interfere with sleep and circadian alignment, as well as individual differences in vulnerability and resiliency to sleep loss and circadian desynchronization.
Journal ArticleDOI

Sleep and neurobehavioral performance vary by work start time during non-traditional day shifts

TL;DR: It is found that non‐traditional day shifts encroach on an individual's sleep opportunity and such shifts could be a contributing factor to the high prevalence of sleep deficiency observed in modern society.
Book ChapterDOI

Sleep Environment Recommendations for Future Spaceflight Vehicles

TL;DR: There are wide individual differences in the preferred sleep environment; therefore modifiable sleeping compartments are necessary to ensure all crewmembers are able to select personalized configurations for optimal sleep.
Journal ArticleDOI

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments.

TL;DR: An approach for collecting sleep, circadian, fatigue, and performance data in a complex operational environment is summarized and it was found that sleep duration was reduced during early starts and late finishes relative to baseline.