Title
Converging Minds: Assessing Team Performance Using Psychophysiological Measures
Keywords
Closed-loop human systems; Information processing; Psychophysiology; Social cybernetics; Team cognition; Team performance
Abstract
Effective teams are an integral component to the success and the advancement of any organization. This issue emphasizes the need to develop valid measures for team performance especially in operational environments. The use of psychophysiological data has been proposed as a candidate for developing these team-level measures. In this paper, we review past research in the field and discuss two contrasting approaches to model human cognition used in the context of teams. We then propose a test-bed for evaluating these models for human-in-the loop adaptive systems using psychophysiological measures. © 2009 Springer.
Publication Date
12-1-2009
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
5638 LNAI
Number of Pages
299-303
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-02812-0_35
Copyright Status
Unknown
Socpus ID
77951999323 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77951999323
STARS Citation
Vartak, Aniket A.; Somvanshi, Siddharth S.; Fidopiastis, Cali M.; and Nicholson, Denise, "Converging Minds: Assessing Team Performance Using Psychophysiological Measures" (2009). Scopus Export 2000s. 11399.
https://stars.library.ucf.edu/scopus2000/11399