Paper
4 September 2003 A work-centered cognitively based architecture for decision support: the work-centered infomediary layer (WIL) model
Wayne Zachary, Robert Eggleston, Jason Donmoyer, Serge Schremmer
Author Affiliations +
Abstract
Decision-making is strongly shaped and influenced by the work context in which decisions are embedded. This suggests that decision support needs to be anchored by a model (implicit or explicit) of the work process, in contrast to traditional approaches that anchor decision support to either context free decision models (e.g., utility theory) or to detailed models of the external (e.g., battlespace) environment. An architecture for cognitively-based, work centered decision support called the Work-centered Informediary Layer (WIL) is presented. WIL separates decision support into three overall processes that build and dynamically maintain an explicit context model, use the context model to identify opportunities for decision support and tailor generic decision-support strategies to the current context and offer them to the system-user/decision-maker. The generic decision support strategies include such things as activity/attention aiding, decision process structuring, work performance support (selective, contextual automation), explanation/ elaboration, infosphere data retrieval, and what if/action-projection and visualization. A WIL-based application is a work-centered decision support layer that provides active support without intent inferencing, and that is cognitively based without requiring classical cognitive task analyses. Example WIL applications are detailed and discussed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wayne Zachary, Robert Eggleston, Jason Donmoyer, and Serge Schremmer "A work-centered cognitively based architecture for decision support: the work-centered infomediary layer (WIL) model", Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); https://doi.org/10.1117/12.502602
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Cited by 6 scholarly publications.
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KEYWORDS
Cognitive modeling

Decision support systems

Computer architecture

Systems modeling

Human-machine interfaces

Control systems

Data modeling

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