Title
A joint human-automation cognitive system to support rapid decision-making in hostile environments
Abstract
Honeywell has designed a joint human-computer cognitive system to support rapid decision making demands of dismounted soldiers. In highly networked environments the sheer magnitude of communication amid multiple tasks could overwhelm individual soldiers. Key cognitive bottlenecks constrain information flow and the performance of decision-making, especially under stress. The adaptive decision-support system mitigates non-optimal human performance via automation when the system detects a breakdown in the human's cognitive state. The human's cognitive state is assessed in real-time via a suite of neuro-physiological and physiological sensors. Adaptive mitigation strategies can include task management, optimizing information presentation via modality management, task sharing, and task loading. Mitigations are designed with consideration for both the costs and benefits of intermittent augmentation. The paper describes the system development and evolution, explorations of usable cognitive mitigation strategies, and four evaluations that show adaptive automaton can effectively, mitigate human decision-making performance at extremes (overload and underload) of workload.
Year
DOI
Venue
2005
10.1109/ICSMC.2005.1571506
Systems, Man and Cybernetics, 2005 IEEE International Conference
Keywords
Field
DocType
adaptive systems,augmented reality,automation,cognition,cognitive systems,decision making,decision support systems,human computer interaction,task analysis,adaptive decision-support system,adaptive mitigation strategy,decision making,hostile environment,information flow,information presentation,intermittent augmentation,joint human-automation cognitive system,loading,modality management,neuro-physiological sensor,task management,task sharing,Augmented Cognition,adaptive system,decision making,decisions support system
Task management,Task analysis,Computer science,Knowledge management,Automation,Human–computer interaction,Artificial intelligence,Cognition,Information flow (information theory),Adaptive system,Workload,Decision support system,Machine learning
Conference
Volume
ISSN
ISBN
3
1062-922X
0-7803-9298-1
Citations 
PageRank 
References 
1
0.56
4
Authors
4
Name
Order
Citations
PageRank
Michael C. Dorneich110.56
Patricia May Ververs210.56
Santosh Mathan310.56
Stephen Whitlow461.11