Object-Process Methodology as an Alternative to Human Factors Task Analysis

Author(s):  
Dov Dori ◽  
Ahmad Jbara ◽  
Yongkai E. Yang ◽  
Andrew M. Liu ◽  
Charles M. Oman

Objective We define and demonstrate the use of OPM-TA—a model-based task analysis (TA) framework that uses object-process methodology (OPM) ISO 19450 as a viable alternative to traditional TA techniques. Background A variety of different TA methods exist in human factors engineering, and several of them are often applied successively for a broad task representation, making it difficult to follow. Method Using OPM-TA, we modeled how an International Space Station (ISS) astronaut would support extravehicular activities using the existing robotic arm workstation with a new control panel and an electronic procedure system. The modeling employed traditional TA methods and the new OPM-TA approach, enabling a comparison between them. Results While the initial stages of modeling with OPM-TA follow those of traditional TA, OPM-TA modeling yields an executable and logically verifiable model of the entire human–robot system. Both OPM’s hierarchical set of diagrams and the equivalent, automatically generated statements in a subset of natural language text specify how objects and processes relate to each other at increasingly detailed levels. The graphic and textual OPM modalities specify the system’s architecture, which enables its function and benefits its users. To verify the model logical correctness model, we executed it using OPM’s simulation capability. Conclusion OPM-TA was able to unify traditional TA methods and expand their capabilities. The formal yet intuitive OPM-TA approach fuses and extends traditional TA methods, which are not amenable to simulation. It therefore can potentially become a widely used means for TA and human–machine procedure development and testing.

Author(s):  
Bella Yigong Zhang ◽  
Mark Chignell

Human Factors Engineering (HFE) is an applied discipline that uses a wide range of methodologies to better the design of systems and devices for human use. Underpinning all human factors design is the maxim to fit the human to the task/machine/system rather than vice versa. While some HFE methods such as task analysis and anthropometrics remain relatively fixed over time, areas such as human-technology interaction are strongly influenced by the fast-evolving technological trend. In times of big data, human factors engineers need to have a good understanding of topics like machine learning, advanced data analytics, and data visualization so that they can design data-driven products that involve big data sets. There is a natural lag between industrial trends and HFE curricula, leading to gaps between what people are taught and what they will need to know. In this paper, we present the results of a survey involving HFE practitioners (N=101) and we demonstrate the need for including data science and machine learning components in HFE curricula.


1988 ◽  
Vol 32 (16) ◽  
pp. 1095-1099
Author(s):  
Thomas L. Seamster ◽  
Cathrine E. Snyder ◽  
Michele Terranova ◽  
William J. Walker ◽  
D. Todd Jones

Military standards applied to the private sector contracts have a substantial effect on the quality of Computer Based Training (CBT) systems procured for the Naval Air Systems Command. This study evaluated standards regulating the following areas in CBT development and procurement: interactive training systems, cognitive task analysis, and CBT hardware. The objective was to develop some high-level recommendations for evolving standards that will govern the next generation of CBT systems. One of the key recommendations is that there be an integration of the instructional systems development, the human factors engineering, and the software development standards. Recommendations were also made for task analysis and CBT hardware standards.


1992 ◽  
Vol 36 (13) ◽  
pp. 945-949
Author(s):  
H. Greig Lindner

A Human Factors Engineering (HFE) pilot project was undertaken by the National Aeronautics and Space Administration (NASA) on the Space Station Processing Facility (SSPF) at the Kennedy Space Center, Florida in 1991. It is to demonstrate the use of Human Factors in supporting the role of NASA Safety in achieving their objective of reducing the causes of accidents by helping to eliminate error producing situations. The initial phase of this endeavor consisted of a review of the design drawings for the SSPF, identifying all human factors concerns with special emphases on those which affected personnel safety, operational efficiency and hazards which might produce damage to expensive payloads. Where drawings did not completely disclose the characteristics of the intended operations, other facilities at the Kennedy Space Center were visited to obtain “Lessons Learned” insights that could be applied to the drawing critique. As Human Factors concerns and/or Safety issues were identified, they were discussed with the appropriate engineering personnel to effect a workable solution. During the lecture presentation, examples of identified HF & Safety deficiencies will be presented by the use of drawings, photographs in viewgraph form and a video of an accident to the Magellan Spacecraft. Discussion of the findings of the Magellan Spacecraft Mishap Review Board will elaborate on their conclusion that the lack of Human Factors Engineering was a major Contributor to this incident. A video segment showing an advanced and innovative Human Factors (HF) modeling technique will graphically demonstrate the potential application of conducting Human Engineering (HE) evaluations in conjunction with Engineering Prototyping in a Computer Aided Design (CAD) environment.


Author(s):  
Cynthia M. Rando ◽  
Devanshi G. Patel ◽  
Laura E. Duvall ◽  
Lockheed Martin

Working on the International Space Station (ISS) has uncovered several challenges in the prevention of human error and desensitization to hazard advisories. Although human-centered design strives to eliminate accidents, there are still many unknowns in long term space habitation. Specifically, during the last fourteen ISS Expeditions, the crew has indicated that cautions and warnings (C&Ws) were used inappropriately within procedures. Human factors and safety personnel reviewed all comments made during ISS debriefs and a sample set of procedures. Findings included: no human factors input in procedure development, inconsistencies in procedure development, unclear C&W standards, and overuse and misuse of C&Ws throughout procedures. A usability evaluation was conducted to assess C&W intuitiveness for a specific set of C&Ws: Touch Temperature, Shock, Electrostatic Discharge, Rack Rotation, and Foreign Object Debris. This work focuses on the review findings, usability evaluation results, recommendations to NASA, final implementation and application to industry.


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