A framework for assessing and communicating human systems integration efficacy across the system lifecycle
| Autor: | Lee W. Sciarini, Michael P. O’Neil, Lawrence G. Shattuck |
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| Přispěvatelé: | Graduate School of Operational and Information Sciences (GSOIS) |
| Rok vydání: | 2015 |
| Předmět: |
Scheme (programming language)
Technology readiness assessment Engineering Process (engineering) Human factors integration Technology readiness level System lifecycle Human readiness level Industrial and Manufacturing Engineering Artificial Intelligence Human factors engineering Benchmark (surveying) Human Systems Integration computer.programming_language business.industry Systems readiness metrics Technology Readiness Level Human systems integration metrics Human factors metrics Workflow Usability assessment Scale (social sciences) Systems engineering business computer |
| Popis: | 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015 The article of record as published may be found at https://doi.org/10.1016/j.promfg.2015.07.851 The economic advantages and tactical edge provided by properly configured human-technology interfaces are well documented in modern acquisition. Despite these clear advantages, implementing HSI continues to be impeded by the complexity of human- technology integration issues. We propose that the lack of understanding of HSI and its impacts on system performance are at the core of these challenges. The Comprehensive Human Integration Evaluation Framework (CHIEF) is proposed as a tool for understanding, assessing and communicating HSI’s impact on total system performance across the system lifecycle. Using the development and emergence of the NASA/DoD Technology Readiness Level (TRL) scale as a benchmark, recently proposed HSI and human factors (HF) metrics are analyzed to determine attributes for a useful framework. A simplified definition of HSI is offered as a foundation for understanding the HSI process. The CHIEF evaluation scheme, including an HSI performance summary, domain-specific rating scales and a workflow developed jointly by the U.S. Coast Guard Office of Human Systems Integration and the Naval Postgraduate School are then described. Efforts to implement the framework in current USCG acquisition are summarized. |
| Databáze: | OpenAIRE |
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