Title
Neurally-Driven Adaptive Decision Aids
Keywords
Adoptive decision aids; Cognitive state; Intuition; Warfighters
Abstract
Warfighters are constantly challenged with increasingly complex mission environments, roles, and tasks, which require rapid and accurate decision making. Most current military and commercial decision aids leverage a single strategy: they retrieve and fuse information about well-defined objects and events for the user. Such aids effectively discourage users from considering contextual information and patterns that may help them recognize or think critically about hostile or innocent events. If a decision aiding system were to be truly effective, its adaptive strategies should be driven by more than manipulation of well-defined information presented to the user. In this paper, we propose several critical factors - (1) Information state, (2) User cognitive state, and (3) Interaction state - that will enable for discern what must be decided and by when; discriminate which cognitive state and process are in play; and assess interactions (queries, selections, etc.) with the information. Most importantly, these factors will allow for a decision aid to capitalize on -the distinctly human ability to find meaning in swarm of objects and events being perceived. © 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
30-34
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-02812-0_4
Copyright Status
Unknown
Socpus ID
77951997497 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77951997497
STARS Citation
Geyer, Alexandra; Freeman, Jared; Nicholson, Denise; Fidopiastis, Cali; and Luu, Phan, "Neurally-Driven Adaptive Decision Aids" (2009). Scopus Export 2000s. 11401.
https://stars.library.ucf.edu/scopus2000/11401