Resilient Autonomous Systems: Challenges And Solutions
Keywords
autonomous systems; personality; resilience; social-emotional signaling; stress; transparency; trust; workload
Abstract
Advances in the technology of autonomous systems calls for an examination of the factors that confer resilience on the human-machine system. We identify challenges for teaming between human operators and autonomous systems associated with cognitive demands, trust and operator self-regulation. Solutions to these challenges partly require designing systems for effective signaling of capabilities and 'intent' to the human operator. They also require selection and training of operators to team with systems that may simulate intelligent, social behaviors, as well as diagnostic monitoring of operator neurocognitive status. Implementing such solutions supports resilience at a systems level, so that machine and human can compensate for each other's limitations in challenging circumstances.
Publication Date
9-21-2016
Publication Title
Proceedings - 2016 Resilience Week, RWS 2016
Number of Pages
208-213
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/RWEEK.2016.7573335
Copyright Status
Unknown
Socpus ID
84991831970 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84991831970
STARS Citation
Matthews, G.; Reinerman-Jones, L. E.; Barber, D. J.; Teo, G.; and Wohleber, R. W., "Resilient Autonomous Systems: Challenges And Solutions" (2016). Scopus Export 2015-2019. 4325.
https://stars.library.ucf.edu/scopus2015/4325