Agent-Based personal assistance in collaborative design environments

Authors:
Yue Zhang;Hamada Ghenniwa;Weiming Shen
Affiliations:
Dept. of Electrical and Computer Engineering, The University of Western Ontario, London, Ontario, Canada;Dept. of Electrical and Computer Engineering, The University of Western Ontario, London, Ontario, Canada;Dept. of Electrical and Computer Engineering, The University of Western Ontario, London, Ontario, Canada
Venue:
CSCWD'05 Proceedings of the 9th international conference on Computer Supported Cooperative Work in Design II
Year:
2005

Citing 5
Cited 0

Collaborative interface agents

AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Utility Theory-Based User Models for Intelligent Interface Agents

AI '98 Proceedings of the 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Editorial: editorial of the special issue on knowledge sharing in collaborative design environments

Computers in Industry - Special issue: Knowledge sharing in collaborative design environments
A multi-agent system for acquiring and sharing lessons learned

Computers in Industry - Special issue: Knowledge sharing in collaborative design environments
The lumière project: Bayesian user modeling for inferring the goals and needs of software users

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Computer systems have become more and more complex and users are overwhelmed with diverse tasks. Traditional online help systems cannot satisfy the users due to the lack of considering the dynamics and uncertainty. Agent technology is a promising approach to designing and developing intelligent user assistance systems, which benefit from agents' flexibility and adaptability. This paper presents our recent work on the design and implementation of personal assistant agents in collaborative design environments. Based on the coordinated, intelligent, rational agent (CIR-Agent) model, a personal assistant is designed to adapt to the user and offer intelligent assistances. A collaboration mechanism based on user interest and behavior models is developed to help find appropriate collaborators.