Title
Assessing Human-Automation System Safety, Efficiency, And Performance: Developing A Metrics Framework
Abstract
Automation is an important and widely utilized component in work environments across many domains; it is useful for completing tasks too dangerous or cumbersome for personnel to complete by themselves. Despite its benefits, potential issues can occur that may impact safety and efficiency in the overall humanautomation system. To realize the benefits of automation, designers must be able to measure and assess the levels of safety and efficiency. This paper will discuss a theoretical framework to guide the development and selection of metrics for assessing human-automation interaction.
Publication Date
1-1-2014
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
2014-January
Number of Pages
1149-1153
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1541931214581240
Copyright Status
Unknown
Socpus ID
84957707132 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84957707132
STARS Citation
Oglesby, James M.; Stowers, Kimberly; Leyva, Kevin; Dietz, Aaron; and Sonesh, Shirley, "Assessing Human-Automation System Safety, Efficiency, And Performance: Developing A Metrics Framework" (2014). Scopus Export 2010-2014. 8920.
https://stars.library.ucf.edu/scopus2010/8920