Title
A Research Approach To Shared Mental Models And Situation Assessment In Future Robot Teams
Abstract
Understanding team cognition requires a multifaceted research approach, aimed at understanding individual and team cognition within and across humans and agents. Measurement and prediction of mental models and situation awareness (SA) of humans, robotic agents, and teams are needed to understand the knowledge required for advanced human-robot team performance. In this paper, we present a research approach to understanding shared mental models (SMMs) and SA with respect to human-robot teams. Having shared and accurate mental models will allow for human and robotic teammates to understand each other's roles and tasks and also provide a level of predictive behavior that allows teammates to anticipate each other's needs. Incorporating robotic agents' input into team SA will improve the adaptive capability of the team. Combined with SA, SMMs can provide a deeper understanding of the happenings in the mission environment.
Publication Date
11-28-2011
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Number of Pages
456-460
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1071181311551094
Copyright Status
Unknown
Socpus ID
81855184561 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/81855184561
STARS Citation
Schuster, David; Ososky, Scott; Jentsch, Florian; Phillips, Elizabeth; and Lebiere, Christian, "A Research Approach To Shared Mental Models And Situation Assessment In Future Robot Teams" (2011). Scopus Export 2010-2014. 1994.
https://stars.library.ucf.edu/scopus2010/1994