Improved performance research integration tool (IMPRINT): Human performance modeling for improved system design

Samms, Charneta

doi:10.1037/e578682012-002

Cited by 2 publications

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“…A longer term practical implication is the advancement of a human performance model of human–automation interaction, which could be used to predict performance and inform work design. With its dynamic decision front end that predicts choice and RT, our model could provide a crucial link from performance data to cognitive architectures such as ACT-R (Anderson & Lebiere, 2014), which in turn could be inputted to broader task network architectures such as the Improved Performance Research Integration Tool (IMPRINT; Samms, 2010), to account for system-level work performance (Lebiere et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Inhibitory Cognitive Control Allows Automated Advice to Improve Accuracy While Minimizing Misuse

et al. 2021

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Humans increasingly use automated decision aids. However, environmental uncertainty means that automated advice can be incorrect, creating the potential for humans to act on incorrect advice or to disregard correct advice. We present a quantitative model of the cognitive process by which humans use automation when deciding whether aircraft would violate requirements for minimum separation. The model closely fitted the performance of 24 participants, who each made 2,400 conflict-detection decisions (conflict vs. nonconflict), either manually (with no assistance) or with the assistance of 90% reliable automation. When the decision aid was correct, conflict-detection accuracy improved, but when the decision aid was incorrect, accuracy and response time were impaired. The model indicated that participants integrated advice into their decision process by inhibiting evidence accumulation toward the task response that was incongruent with that advice, thereby ensuring that decisions could not be made solely on automated advice without first sampling information from the task environment.

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Section: Discussionmentioning

confidence: 99%

Inhibitory Cognitive Control Allows Automated Advice to Improve Accuracy While Minimizing Misuse

et al. 2021

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“…28 IMPRINT is a human performance modeling tool developed by the US Army Research Laboratory to help system developers predict the impact of operator attributes on system performance. 29 The following three applications are provided as examples of Type 1 assessments.…”

Section: Type 1: Human Data Content Analysismentioning

confidence: 99%

A retrospective of the human viewpoint and its applicability to future systems

Handley

2021

Systems Engineering

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This paper describes the human viewpoint that was developed by a multinational panel of System Engineers and Human System Integration practitioners as an adjunct to existing systems architecting frameworks. The data collected in the human viewpoint enables engineering analyses that include human-system trade-offs to address stakeholder concerns. These analyses focus on the role definitions and task allocations that improve overall system performance. The human views method was developed to facilitate assessments of increasing fidelity, such as human data content analysis, humansystem design trade-offs, restructuring role-task allocations, and crew reductions due to automation. Ten examples, across a range of applications and levels of assessment, are provided to illustrate the ability to provide decision support to stakeholders. A reflection on the use of the human viewpoint traces its development across the examples, as well as suggesting a research agenda to improve its ability to address the design concerns of future systems. K E Y W O R D Sautomation, human viewpoint, human views method, role-task allocation, trade-off analyses 1 the boundaries of the system engineering process by integrating the system with its people. 10 HSI considerations include manpower, personnel, training, human factors engineering, safety, and occupational health, habitability, and survivability. 11 The human viewpoint provides

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Improved performance research integration tool (IMPRINT): Human performance modeling for improved system design

Cited by 2 publications

References 0 publications

Inhibitory Cognitive Control Allows Automated Advice to Improve Accuracy While Minimizing Misuse

Inhibitory Cognitive Control Allows Automated Advice to Improve Accuracy While Minimizing Misuse

A retrospective of the human viewpoint and its applicability to future systems

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