NDLI: A joint human-automation cognitive system to support rapid decision-making in hostile environments

Content Provider	IEEE Xplore Digital Library
Author	Dorneich, M.C. Ververs, P.M. Santosh Mathan Whitlow, S.D.
Copyright Year	2005
Description	Author affiliation: Human-Centered Syst., Honeywell Labs., Minneapolis, MN, USA (Dorneich, M.C.; Ververs, P.M.; Santosh Mathan; Whitlow, S.D.)
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.
Starting Page	2390
Ending Page	2395
File Size	382007
Page Count	6
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision making Performance evaluation Environmental management Human resource management Knowledge management Risk management Technology management Force control Stress control Control systems adaptive system Augmented Cognition decision making decisions support system
Content Type	Text
Resource Type	Article

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