Object-Process Methodology as an Alternative to Human Factors Task Analysis.
Hum Factors
; 65(7): 1451-1472, 2023 11.
Article
em En
| MEDLINE
| ID: mdl-34605295
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise e Desempenho de Tarefas
/
Simulação por Computador
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Hum Factors
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Israel
País de publicação:
Estados Unidos