Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
The Use of Cooperation Scenarios in the Design and Evaluation of a CSCW System
IEEE Transactions on Software Engineering
It's all in the words: supporting work activites with lightweight tools
GROUP '99 Proceedings of the international ACM SIGGROUP conference on Supporting group work
The Interactive Workspaces Project: Experiences with Ubiquitous Computing Rooms
IEEE Pervasive Computing
WETICE '00 Proceedings of the 9th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Toward a taxonomy of copresence
Presence: Teleoperators and Virtual Environments
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Simulating Internet-based collaboration: A cost-benefit case study using a multi-agent model
Decision Support Systems
Doing Virtually Nothing: Awareness and Accountability in Massively Multiplayer Online Worlds
Computer Supported Cooperative Work
You can be too rich: mediated communication in a virtual world
OZCHI '09 Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7
Evaluation methods for groupware systems
CRIWG'07 Proceedings of the 13th international conference on Groupware: design implementation, and use
Hi-index | 12.05 |
The paper develops and discusses a theoretical model for collaborative design systems based on motivated learning agents, however, with a novel self-development module to help the system improve itself. Self-Development Agent based on previous work is an intelligent agent, which not only receives information from sensors in the environment, but also gives valuable suggestions that could help to improve the system. Two case studies with different system setups are described in detail to help better understand this model. The theoretical model is not limited to the specific systems described in this paper, but could be adapted to other collaboration systems as well.