Publications

See, Judi E.

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Ergonomics in Design: The Quarterly of Human Factors Applications

See, Judi E.

The Human Readiness Level scale complements and supplements the existing technology readiness level scale to support comprehensive and systematic evaluation of human system aspects throughout a system’s life cycle. The objective is to ensure humans can use a fielded technology or system as intended to support mission operations safely and effectively. This article defines the nine human readiness levels in the scale, explains their meaning, and illustrates their application using a helmet-mounted display example.

See, Judi E.

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See, Judi E.

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See, Judi E.

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See, Judi E.

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See, Judi E.

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See, Judi E.

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See, Judi E.

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See, Judi E.

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Salazar, George S.; See, Judi E.; Handley, Holly A.; Craft, Richard C.

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See, Judi E.

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See, Judi E.

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See, Judi E.; Handley, Holly A.

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Advances in Intelligent Systems and Computing

See, Judi E.

A controlled between-groups experiment was conducted to demonstrate the value of human factors for process design. Twenty-four Sandia National Laboratories employees completed a simple visual inspection task simulating receipt inspection. The experimental group process was designed to conform to human factors and visual inspection principles, whereas the control group process was designed without consideration of such principles. Results indicated the experimental group exhibited superior performance accuracy, lower workload, and more favorable usability ratings as compared to the control group. The study provides evidence to help human factors experts revitalize the critical message regarding the benefits of human factors involvement for a new generation of systems engineers.

See, Judi E.

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See, Judi E.

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See, Judi E.; Craft, Richard L.

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See, Judi E.

A controlled between-groups experiment was conducted to demonstrate the value of human factors for process design. Most evidence to convey the benefits of human factors is derived from reactive studies of existing flawed systems designed with little or no human factors involvement. Controlled experiments conducted explicitly to demonstrate the benefits of human factors have been scarce since the 1990s. Further, most previous research focused on product or interface design as opposed to process design. The present study was designed to fill these research gaps. Toward that end, 24 Sandia National Laboratories employees completed a simple visual inspection task simulating receipt inspection. The experimental group process was designed to conform to human factors and visual inspection principles, whereas the control group process was designed without consideration of such principles. Results indicated the experimental group exhibited superior performance accuracy, lower workload, and more favorable usability ratings as compared to the control group. Given the differences observed in the simple task used in the present study, the author concluded that incorporating human factors should have even greater benefits for complex products and processes. The study provides evidence to help human factors practitioners revitalize the critical message regarding the benefits of human factors involvement for a new generation of designers.

Proceedings - 2017 Resilience Week, RWS 2017

See, Judi E.; Craft, Richard; Morris, Jason; Newton, Victoria

Since 2010, the concept of human readiness levels (HRL) has been under development as a possible supplement to the existing technology readiness levels (TRL) scale. The intent is to provide a mechanism to address safety and performance risks associated with the human component in a system that parallels the TRL structure already familiar to the systems engineering community. Sandia National Laboratories in Albuquerque, New Mexico, initiated a study in 2015 to evaluate options to incorporate human readiness planning for Sandia processes and products. To date, the study team has baselined current development processes at Sandia and collected feedback on the viability ofpotential options for human readiness planning. Future efforts entail assessing the utility of identified solutions in one or more test cases.

See, Judi E.; Craft, Richard L.; Morris, Jason; Newton, Victoria E.

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See, Judi E.

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Greenberg, Alexander G.; Newton, Victoria E.; See, Judi E.

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See, Judi E.; Craft, Richard L.; Morris, Jason; Newton, Victoria E.

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See, Judi E.

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