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Cited by 186

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The Three-Process Model of Alertness and Its Extension to Performance, Sleep Latency, and Sleep Length

Åkerstedt, Torbjörn, Folkard, Simon·1997·Chronobiology International

Abstract

This paper summarizes a mathematical/computer model for predicting alterness/performance in daily living. The model uses sleep data as input and contains a circadian and a homeostatic component (amount of prior wake and amount of prior sleep), which are summed to yield predicted alertness (on a scale between 1 and 16) as well as performance on monotonous tasks. The model includes an identification of levels at which the risk of performance/ alertness impairment starts, as well as prediction of sleep latency and time of awakening of sleep episodes. It is suggested that the model may be used to evaluate work/rest schedules in terms of sleep-related safety risks.

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Metadata

Authors
Åkerstedt, T., & Folkard, S.
Venue
Chronobiology International
Published
1997-01
Volume
14
Issue
2
Pages
115-123
ISSN
  • 0742-0528 (ISSN-L)
  • 1525-6073
OpenAlex
W2154812230
Cited by
186
References
0
FWCI
9.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Three-Process Model of Alertness and Its Extension to Performance, Sleep Latency, and Sleep Length. https://app.cochat.ai/papers/10.3109/07420529709001149
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Åkerstedt, T., & Folkard, S. (1997). The Three-Process Model of Alertness and Its Extension to Performance, Sleep Latency, and Sleep Length. Chronobiology International. https://doi.org/10.3109/07420529709001149

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.