Interfacing thought: cognitive aspects of human-computer interaction
Direct manipulation vs. interface agents
interactions
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Multiagent systems
Information agent technology for the Internet: a survey
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
A graph-matching approach to dynamic media allocation in intelligent multimedia interfaces
Proceedings of the 10th international conference on Intelligent user interfaces
Preference elicitation for interface optimization
Proceedings of the 18th annual ACM symposium on User interface software and technology
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With the increasing complexity of systems and information overload, agent technology has become widely used to provide personalized advice (help message) to users with their computer-based tasks. The purpose of this study is to investigate the way to optimize advice provided by the intelligent agent from a decision theoretic perspective. The study utilizes the time associated with processing a help message as the trade-off criterion of whether to present a help message or not. The proposed approach is expected to provide guidance as to where, when and why help messages are likely to be effective or ineffective by providing quantitative predictions of value of help messages in time.