Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task.

Gunzelmann, Glenn; Moore, L. Richard; Gluck, Kevin A.; Dongen, Hans P. A. Van; Dinges, David F.

doi:10.1037/12343-004

Cited by 30 publications

(19 citation statements)

References 46 publications

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“…It defaults to 50ms, but Stewart, Choo and Eliasmith (2010) have shown that tasks composed of simple productions (such as those implemented to perform the 2AFC and change signal tasks) will have shorter cycle times. This is also consistent with our work with the psychomotor vigilance task (PVT), where we typically find default action time values of approximately 40ms (Gunzelmann, Moore, Gluck, Van Dongen & Dinges, 2010). Rather than refitting the 2AFC task independently, we chose to constrain DAT to the value obtained from the PVT, resulting in the dashed black line in Figure 5.…”

Section: Model Fittingsupporting

confidence: 62%

One Model, Two Tasks: Decomposing the Change Signal Task

Moore¹,

Gunzelmann²,

Daigle³

2012

PsycEXTRA Dataset

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The change signal task is a variant of a two-alternative forced-choice (2AFC) task where the initial stimulus is superseded with the alternative stimulus (the change signal) at a delay on a proportion of trials. Taking advantage of the overlap in task requirements, we present a single model that can perform both tasks. We validate the model using the empirical data from participants who performed both tasks sequentially. The results confirmed the existence of a dynamic hedging strategy, and showed that cognitive fatigue had little, if any, role in slower response times with increased time on task. When fitting the 2AFC task, the model required adjustment to one architectural parameter while the rest were left to defaults. That parameter is then constrained while fitting the remaining three task-specific parameters of the change signal task. This effectively reduces a degree of freedom in the larger task, and increases confidence in the model as it closely matches human performance in multiple tasks.

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Section: Model Fittingsupporting

confidence: 62%

One Model, Two Tasks: Decomposing the Change Signal Task

Moore¹,

Gunzelmann²,

Daigle³

2012

PsycEXTRA Dataset

Self Cite

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“…Finally, the model's alertness levels do not change over the course of the 40-min driving sessions, either upon recognition of a lane violation, or as time on task increases. These dynamics are certainly at play in human driving, and expose important areas for future research, some of which we have begun to explore (Gunzelmann, Moore, Gluck, Van Dongen, & Dinges, 2010).…”

Section: Discussionmentioning

confidence: 98%

Sleep loss and driver performance: Quantitative predictions with zero free parameters

Gunzelmann

Moore

Salvucci

et al. 2011

Cognitive Systems Research

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“…Walsh et al (2017) did not model intrasession changes in PVT performance, in part because PVT sessions tend to be shorter in sleep research (10 min) than what we used (35 min; Veksler & Gunzelmann, 2018). However, we have explored the conjunction of sleep loss and time on task in the PVT in the past (Gunzelmann, Moore, Gluck, Van Dongen, & Dinges, 2011).…”

Section: Different Theories Account For the Impact Of Sleep Loss Versmentioning

confidence: 99%

Further Evidence That Sleep Deprivation Effects and the Vigilance Decrement Are Functionally Equivalent: Comment on Altmann (2018)

Gunzelmann

Veksler²

2018

Cognitive Science

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Veksler and Gunzelmann (2018) argue that the vigilance decrement and the deleterious effects of sleep loss reflect functionally equivalent degradations in cognitive processing and performance. Our account is implemented in a cognitive architecture, where these factors produce breakdowns in goal-directed cognitive processing that we refer to as microlapses. Altmann (2018) raises a number of challenges to microlapses as a unified account of these deficits. Under scrutiny, however, the challenges do little to discredit the theory or conclusions in the original paper. In our response, we address the most serious challenges. In so doing, we provide additional support for the theory and mechanisms, and we highlight opportunities for extending their explanatory breadth.

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Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task.

Abstract: Time on task and time awake are two important influences on human cognitive performance. Both extended periods of wakefulness and extended periods of effort on a single task lead to performance declines (e.g.

Cited by 30 publications

References 46 publications

One Model, Two Tasks: Decomposing the Change Signal Task

One Model, Two Tasks: Decomposing the Change Signal Task

Sleep loss and driver performance: Quantitative predictions with zero free parameters

Further Evidence That Sleep Deprivation Effects and the Vigilance Decrement Are Functionally Equivalent: Comment on Altmann (2018)

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