11 found
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  1.  30
    Functional Equivalence of Sleep Loss and Time on Task Effects in Sustained Attention.Bella Z. Veksler & Glenn Gunzelmann - 2018 - Cognitive Science 42 (2):600-632.
    Research on sleep loss and vigilance both focus on declines in cognitive performance, but theoretical accounts have developed largely in parallel in these two areas. In addition, computational instantiations of theoretical accounts are rare. The current work uses computational modeling to explore whether the same mechanisms can account for the effects of both sleep loss and time on task on performance. A classic task used in the sleep deprivation literature, the Psychomotor Vigilance Test, was extended from the typical 10-min duration (...)
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  2.  46
    Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling.Glenn Gunzelmann, Joshua B. Gross, Kevin A. Gluck & David F. Dinges - 2009 - Cognitive Science 33 (5):880-910.
    A long history of research has revealed many neurophysiological changes and concomitant behavioral impacts of sleep deprivation, sleep restriction, and circadian rhythms. Little research, however, has been conducted in the area of computational cognitive modeling to understand the information processing mechanisms through which neurobehavioral factors operate to produce degradations in human performance. Our approach to understanding this relationship is to link predictions of overall cognitive functioning, or alertness, from existing biomathematical models to information processing parameters in a cognitive architecture, leveraging (...)
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  3.  24
    Evaluating the Theoretic Adequacy and Applied Potential of Computational Models of the Spacing Effect.Matthew M. Walsh, Kevin A. Gluck, Glenn Gunzelmann, Tiffany Jastrzembski & Michael Krusmark - 2018 - Cognitive Science 42 (S3):644-691.
    The spacing effect is among the most widely replicated empirical phenomena in the learning sciences, and its relevance to education and training is readily apparent. Yet successful applications of spacing effect research to education and training is rare. Computational modeling can provide the crucial link between a century of accumulated experimental data on the spacing effect and the emerging interest in using that research to enable adaptive instruction. In this paper, we review relevant literature and identify 10 criteria for rigorously (...)
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  4.  46
    Visual Working Memory Resources Are Best Characterized as Dynamic, Quantifiable Mnemonic Traces.Bella Z. Veksler, Rachel Boyd, Christopher W. Myers, Glenn Gunzelmann, Hansjörg Neth & Wayne D. Gray - 2017 - Topics in Cognitive Science 9 (1):83-101.
    Visual working memory is a construct hypothesized to store a small amount of accurate perceptual information that can be brought to bear on a task. Much research concerns the construct's capacity and the precision of the information stored. Two prominent theories of VWM representation have emerged: slot-based and continuous-resource mechanisms. Prior modeling work suggests that a continuous resource that varies over trials with variable capacity and a potential to make localization errors best accounts for the empirical data. Questions remain regarding (...)
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  5.  10
    Strategy Generalization Across Orientation Tasks: Testing a Computational Cognitive Model.Glenn Gunzelmann - 2008 - Cognitive Science 32 (5):835-861.
    Humans use their spatial information processing abilities flexibly to facilitate problem solving and decision making in a variety of tasks. This article explores the question of whether a general strategy can be adapted for performing two different spatial orientation tasks by testing the predictions of a computational cognitive model. Human performance was measured on an orientation task requiring participants to identify the location of a target either on a map (find‐on‐map) or within an egocentric view of a space (find‐in‐scene). A (...)
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  6.  9
    Relationship of Event-Related Potentials to the Vigilance Decrement.Ashley Haubert, Matt Walsh, Rachel Boyd, Megan Morris, Megan Wiedbusch, Mike Krusmark & Glenn Gunzelmann - 2018 - Frontiers in Psychology 9.
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  7. Representations and Processes of Human Spatial Competence.Glenn Gunzelmann & Don R. Lyon - 2011 - Topics in Cognitive Science 3 (4):741-759.
    This article presents an approach to understanding human spatial competence that focuses on the representations and processes of spatial cognition and how they are integrated with cognition more generally. The foundational theoretical argument for this research is that spatial information processing is central to cognition more generally, in the sense that it is brought to bear ubiquitously to improve the adaptivity and effectiveness of perception, cognitive processing, and motor action. We describe research spanning multiple levels of complexity to understand both (...)
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  8.  20
    Examining the Role of Task Requirements in the Magnitude of the Vigilance Decrement.Daniel Gartenberg, Glenn Gunzelmann, Shiva Hassanzadeh-Behbaha & J. Gregory Trafton - 2018 - Frontiers in Psychology 9.
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  9.  24
    Further Evidence That Sleep Deprivation Effects and the Vigilance Decrement Are Functionally Equivalent: Comment on Altmann.Glenn Gunzelmann & Bella Veksler - 2018 - Cognitive Science 42 (2):712-717.
    Veksler and Gunzelmann 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 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 (...)
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  10. Introduction to the Topic on Modeling Spatial Cognition.Glenn Gunzelmann - 2011 - Topics in Cognitive Science 3 (4):628-631.
    Our ability to process spatial information is fundamental for understanding and interacting with the environment, and it pervades other components of cognitive functioning from language to mathematics. Moreover, technological advances have produced new capabilities that have created research opportunities and astonishing applications. In this Topic on Modeling Spatial Cognition, research crossing a variety of disciplines and methodologies is described, all focused on developing models to represent the capacities and limitations of human spatial cognition.
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  11.  7
    Physiocognitive Modeling: Explaining the Effects of Caffeine on Fatigue.Tim Halverson, Christopher W. Myers, Jeffery M. Gearhart, Matthew W. Linakis & Glenn Gunzelmann - 2022 - Topics in Cognitive Science 14 (4):860-872.
    Most computational theories of cognition lack a representation of physiology. Understanding the cognitive effects of compounds present in the environment is important for explaining and predicting changes in cognition and behavior given exposure to toxins, pharmaceuticals, or the deprivation of critical compounds like oxygen. This research integrates physiologically based pharmacokinetic (PBPK) model predictions of caffeine concentrations in blood and tissues with ACT-R's fatigue module to predict the effects of caffeine on fatigue. Mapping between the PBPK model parameters and ACT-R model (...)
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