Human Performance Variability In Task Execution Times Under Generic Human-System Integration Conditions In Naval Operations

Keywords

Human performance; Human-system integration; Variability

Abstract

This main objective of this paper was to assess and model variability of task performance relevant to human-systems integration efforts in naval ship operations, including the estimation of task execution times under generic task conditions. A method was developed for quantifying and modeling human operator execution times in selected naval ship operations. The proposed method is based on time contributions for each task component with due consideration of three core task performance elements: skills, knowledge and task requirements. The experimental analysis utilized a hybrid approach based on linear regression, weighted scoring method and artificial neural networks. The proposed modeling approach demonstrates promising results for developing a realistic solution for assessment of task performance times relevant to training requirements and total ownership cost for competing technology upgrades, with emphasis on maintaining manpower readiness and mitigating possible performance degradation due to unforeseen mission conditions.

Publication Date

1-1-2018

Publication Title

Advances in Intelligent Systems and Computing

Volume

589

Number of Pages

175-182

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-60645-3_17

Socpus ID

85023196803 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85023196803

This document is currently not available here.

Share

COinS