Title
Neurally-Driven Adaptive Decision Aids
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.
Year
DOI
Venue
2009
10.1007/978-3-642-02812-0_4
HCI (16)
Keywords
Field
DocType
user cognitive state,cognitive state,commercial decision aid,accurate decision,neurally-driven adaptive decision aids,information state,decision aid,well-defined information,fuse information,contextual information,interaction state,intuition
Critical factors,Contextual information,Leverage (finance),Adaptive strategies,Swarm behaviour,Computer science,Intuition,Human–computer interaction,Artificial intelligence,Cognition,Decision aids,Machine learning
Conference
Volume
ISSN
Citations 
5638
0302-9743
0
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
Alexandra Geyer141.61
Jared Freeman282.66
Denise M. Nicholson35711.54
Cali Fidopiastis4236.09
Phan Luu5244.66
Joseph Cohn600.34