The integrated performance modeling environment---simulating human-system performance

Dahn, David; Laughery, Kenneth R.

doi:10.1145/268437.268751

Cited by 13 publications

(5 citation statements)

References 1 publication

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“…Due to the increased complexity of modern systems, related processes are also getting complicated. In keeping pace with the trend, the automation with the processes and equipment needs to be more sophisticated (Dahn and Laughery, 1997;Bunting and Belyavin, 1999). On the other hand, safety processes require appropriate safety analysis methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Model-Based Functional Safety Analysis of Manufacturing Processes for Weapon Systems

Kim¹,

Kim²,

Lee³

2019

RJASET

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The present study aims to propose a method of carrying out the functional safety analysis to ensure the safety of the manufacturing process for weapon systems. The purpose of using weapon systems is to harm human life and destroy the property of hostile countries. Naturally, a weapon system involves explosives during its development and operation. As such, manufacturing processes for weapon systems have potential hazards of accidents that can cause fatal damages to humans or property. Some erroneous activities in the manufacturing process can produce dangerous results. For this reason, the safety of manufacturing processes in the defense industry domain is more crucial than other general manufacturing domain. To deal with such a safety issue, in this research, we propose a model-based approach to ensuring the safety of the manufacturing process for the defense industry. The proposal is primarily based on the concept of functional safety and includes the three steps: determination of safety integrity levels; selection of appropriate safety analysis methods; and execution of the analysis methods using SysML models. Using the results obtained in the study, one can identify the risk factors in a complex manufacturing environment in advance to take preventive actions against the potential loss that may arise.

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Section: Literature Reviewmentioning

confidence: 99%

Model-Based Functional Safety Analysis of Manufacturing Processes for Weapon Systems

Kim¹,

Kim²,

Lee³

2019

RJASET

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“…Several models have been developed to predict the effects of physical stressors. For example, the Improved Performance Research Integration Tool (Wojciechowski, 2007) and the Integrated Performance Modelling Environment (Dahn & Laughery, 1997) have been used to quantify the effects of stressors on the mission performance of a system. Thus, they are useful for design trade-off analyses to mitigate the effects of those stressors.…”

Section: Physical Stressors Summarymentioning

confidence: 99%

Environmental conditions and physical stressors.

Redden¹,

Larkin²

2015

APA Handbook of Human Systems Integration.

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“…Early modeling activities also provide insight into potential performance with a new system that provides a basis for human-in-the-loop evaluations during later design iterations. Performance modeling supports an understanding of the operation of future systems, which can impact system design, facilitate cost-benefit analysis, and aid conceptual interpretations (Dahn & Laughery, 1997). The modeling of future systems can provide improved understanding of current design alternatives that can lead to logical reductions in the set of design alternatives and tractable human-in-the-loop evaluations of alternatives.…”

Section: Human Performance Modelingmentioning

confidence: 99%

“…While this approach may not be preferred for analysis, it can be effective in times when there are insufficient resources to develop actual system prototypes and conduct human-in-the–loop system evaluations. This approach also provides a safer alternative to exposing humans to extreme conditions (Dahn & Laughery, 1997).…”

Section: Human Performance Modelingmentioning

confidence: 99%

Modeling Human Performance for Human–Robot Systems

Harriott¹,

Adams²

2013

Reviews of Human Factors and Ergonomics

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Human performance plays an important role in system performance and is influenced by a wide set of internal, organizational, and environmental factors. Human-robot systems are being developed for a large number of domains, including in-home care, military deployments, emergency response, industrial robots, and therapeutic applications. Human performance modeling provides the opportunity to investigate multiple system prototypes and theories regarding human performance that can be further evaluated in human-inthe-loop experiments, to quickly adapt to rapidly changing robotic technology, and to represent human behavior in extreme conditions. Interacting with robots also influences human performance, and models of the human-robot system provide an avenue to investigate the impact on human performance that the human-robot teaming elicits. This chapter provides an overview of examples representing common methods for assessing human performance in human-robot systems. The topics are summarized in Table 3.2 and include a description of human performance modeling, a summary of commonly used human performance modeling tools, examples of human performance modeling with a focus on its application in human-robot systems, information regarding the validation of models, and guidelines for implementing human performance modeling techniques for robotics.

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The integrated performance modeling environment---simulating human-system performance

Cited by 13 publications

References 1 publication

Model-Based Functional Safety Analysis of Manufacturing Processes for Weapon Systems

Model-Based Functional Safety Analysis of Manufacturing Processes for Weapon Systems

Environmental conditions and physical stressors.

Modeling Human Performance for Human–Robot Systems

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