SAINT, A Digital Simulation Language for the Study of Manned Systems

Chubb, Gerald P.

doi:10.1007/978-1-4613-3306-7_6

Cited by 12 publications

(5 citation statements)

References 1 publication

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“…No single satisfactory composite workload measure yet exists; the models used thus far in seeking one have been rather crude and atheoretical. For relevant examples, reviews, and critiques, see Chubb (1981), Gopher and Donchin (1986), Lane, Strieb, Glenn, and Wherry (1981), Moray (1979), O'Donnel and Eggemeier (1986), Wickens (1991), Wierwille and Conner (1983), and Williges and Wierwille (1979).…”

Section: Discussionmentioning

confidence: 99%

A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena.

Meyer¹,

Kieras²

1997

Psychological Review

455

611

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Further simulations of human multiple-task performance have been conducted with computational models that are based on the executive-process interactive control (EPIC) architecture introduced by D. E. Meyer and D. E. Kieras (1997a). These models account well for patterns of reaction times and psychological refractory-period phenomena (delays of overt responses after short stimulus onset asynchronies) observed in a variety of laboratory paradigms and realistic situations. This supports the claim of the present theoretical framework that multiple-task performance relies on adaptive executive control, which enables substantial amounts of temporal overlap among stimulus identification, response selection, and movement-production processes for concurrent tasks. Such overlap is achieved through optimized task scheduling by flexible executive processes that satisfy prevailing instructions about task priorities and allocate limited-capacity perceptual–motor resources efficiently.

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Section: Discussionmentioning

confidence: 99%

A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena.

Meyer¹,

Kieras²

1997

Psychological Review

455

611

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“…The Keystroke-Level Model (KLM) [6] is one of the GOMS family models and is the easiest model of the GOMS-family (Goals, Operators, Methods, Selection) [7] to use for application designers unlike other models (e.g. cognitive walkthrough [34], cognitive architecture models [5] or task network models [9,24]), such approaches model a routine task (i.e. a task performed by the user without error) to obtain a prediction of the completion time for the task.…”

Section: Klmmentioning

confidence: 99%

A Predictive Performance Model for Immersive Interactions in Mixed Reality

Cabric

Dubois

Serrano

2021

2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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“…Unfortunately, the general-purpose theoretical frameworks being used currently in applications to real-world situations where multiple-task performance plays important roles are less than fully adequate. These frameworks include the SAINT (Chubb, 1981) and HOS (Lane, Strieb, Glenn, & Wherry, 1981;Harris, Iavecchia, Ross, & Shaffer, 1987) modeling systems. Although constituting valuable assessment tools, they do not enable precise computer simulations of complex multiple-task performance nor do they have the flexibility and generativity for a wide variety of applications (cf.…”

Section: Relevance Of Multiple-task Performancementioning

confidence: 99%

Précis to a Practical Unified Theory of Cognition and Action: Some Lessons from EPIC Computational Models of Human Multiple-Task Performance

Meyer,

Kieras

1999

Attention and Performance XVII

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Experimental psychology, cognitive science, and human-factors engineering have progressed sufficiently far that a practical unified theory of cognition and action is now foreseeable. Such a theory soon may yield useful quantitative predictions about rapid human multiple-task performance in applied settings. Toward this end, an Executive-Process/Interactive-Control (EPIC) architecture has been formulated with components whose assumed properties emulate fundamental perceptual, cognitive, and motor processes. On the basis of EPIC, a theorist may construct detailed computational models that characterize multiple-task performance under both laboratory and realworld conditions. For example, EPIC computational models provide good accounts of response latencies and accuracies from the psychological refractory-period procedure, aircraft cockpit operation, and human-computer interaction. As a result, major commonalities in performance across various task domains have been discovered, and efficacious principles for designing person-machine interfaces have been identified. The substantive and methodological lessons learned from these advances constitute an instructive précis to further utilitarian theoretical unification. ________________________ * This document is a preprint of a chapter to be published in the book Attention and Performance XVII (Gopher & Koriat, in press). The chapter is based on an invited lecture presented at the Seventeenth International Symposium on Attention and Performance in Haifa, Israel, during July, 1996. We thank Daniel Gopher and Asher Koriat for organizing the symposium.

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SAINT, A Digital Simulation Language for the Study of Manned Systems

Cited by 12 publications

References 1 publication

A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena.

A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena.

A Predictive Performance Model for Immersive Interactions in Mixed Reality

Précis to a Practical Unified Theory of Cognition and Action: Some Lessons from EPIC Computational Models of Human Multiple-Task Performance

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