15th European Conference on Artificial Intelligence
|July 21-26 2002 Lyon France|
Yanguo Jing, Nick Taylor, Keith Brown
Research has shown that a typical user exhibits a certain pattern when interacting a computer system. This work infers the user interaction habits automatically from the actions that the user and the application produce. The user interaction habits can enable an interface agent to provide assistance to a user or operate the application on the userís behalf. All these actions are automatically segmented into several meaningful action sequences, which are stored in the userís interaction history. An inference algorithm is used to construct the userís interaction model from his/her interaction history. Probabilities of each actionís next possible action are calculated. Interface agents then provide assistance based on a userís interaction model. The interaction model is modified automatically as the interface agents collect more actions. This method is embedded within a generic agent based interface system. Information on the prototype system, some experiments and future work are presented.
Keywords: Interaction Model, Interaction Habits, User Model, Intelligent Interface Agents, Task, Inference
Citation: Yanguo Jing, Nick Taylor, Keith Brown: An Intelligent Inference Approach for User Interaction Modeling in a Generic Agent Based Interface System. In F. van Harmelen (ed.): ECAI2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002, pp.103-107.