Individual Differences In Ugv Operation: A Comparison Of Subjective And Psychophysiological Predictors
Abstract
Unmanned systems operations are complex, cognitively demanding tasks that elicit highly variable workload. The ability to predict performance and workload within these complex tasks can provide a powerful tool for practitioners regarding fit-for-duty verification. Further, monitoring workload AIDS in diagnostic assessment of factors that impact performance. The goal for this analysis was to examine the quality of cross-task averages of both baseline and concurrent psychophysiological and subjective measures to predict task performance and perceived workload. At a theoretical level, these findings suggest the need for a multivariate conceptualization of processing 'resources', encompassing both implicit and explicit responses. At a practical level, both subjective and psychophysiological measures may be necessary for optimizing performance prediction, at least for certain tasks.
Publication Date
1-1-2015
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
2015-January
Number of Pages
741-745
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1541931215591174
Copyright Status
Unknown
Socpus ID
84981725418 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84981725418
STARS Citation
Abich, Julian; Matthews, Gerald; and Reinerman-Jones, Lauren, "Individual Differences In Ugv Operation: A Comparison Of Subjective And Psychophysiological Predictors" (2015). Scopus Export 2015-2019. 2048.
https://stars.library.ucf.edu/scopus2015/2048