Cart (Loading....) | Create Account
Close category search window
 

Toward an integrated human-centered knowledge-based collaborative decision making system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Seung-yun Kim ; Dept. of Electr. & Comput. Eng., Dayton Univ., OH, USA ; Godbole, A. ; Huang, R. ; Panchadhar, R.
more authors

Collaboration and the use of knowledge in collaborative decision-making are fundamental to all organizational processes, and have been the subject of research in management and in decision and computer sciences for years. More recently, it has become necessary to integrate human-centered designs and groupwork practices with other aspects of collaborative systems to ensure higher levels of human involvement in task processes. Human-centered systems not only allow greater involvement, but require higher user friendliness, end-user satisfaction, learnability, and so on. In addition to the aforementioned advantages, human involvement enables the system to capture a wider context, create more knowledge and enhance its collaborative and decision making abilities. Therefore, it is necessary to develop a good balance and integration of the human aspects with enabling technologies for knowledge and decision making. This paper presents human-centered decision-making system (HUDS), an architecture for collaborative decision making in a knowledge based system with active human involvement. We discuss its architecture and concentrate on its main features, namely, decision making, knowledge management, and human computer interaction. We also present case studies that can be used to validate our architecture and to show how information and knowledge flow through the designed system. This architecture can be implemented in a variety of networked scenarios which form the basis of our future work and further development.

Published in:

Information Reuse and Integration, 2004. IRI 2004. Proceedings of the 2004 IEEE International Conference on

Date of Conference:

8-10 Nov. 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.