User modelling, dialog structure, and dialog strategy in HAM-ANS (original) (raw)

User modeling in dialog systems: Potentials and hazards

1990

In order to be capable of exhibiting a wide range of cooperative behavior, a computer-based dialog system must have available assumptions about the current user's goals, plans, background knowledge and (false) beliefs, ie, maintain a so-called “user model”. Apart from cooperativity aspects, such a model is also necessary for intelligent coherent dialog behavior in general.

Dialog Systems and their Inputs

One of the main limitations in existent domain-independent conver- sational agents is that the general and linguistic knowledge of these agents is limited to what the agents' developers explicitly defined. Therefore, a system which analyses user input at a deeper level of abstraction which backs its knowledge with common sense information will essentially result in a system that is capable of providing more adequate responses which in turn result in a better overall user experience. From this premise, a framework was proposed, and a working prototype was implemented upon this framework. These make use of various natural language processing tools, online and offline knowledge bases, and other information sources, to enable it to comprehend and construct relevant responses.

Modeling Human Interaction to Design a Human-Computer Dialog System

Iceis, 2008

This article presents the Cogni-CISMeF project, which aims at improving the health information search engine CISMeF, by including a conversational agent that interacts with the user in natural language. To study the cognitive processes involved during information search, a bottom-up methodology was adopted. An experiment has been set up to obtain human dialogs related to such searches. The analysis of these dialogs underlines the establishment of a common ground and accommodation effects to the user. A model of artificial agent is proposed, that guides the user by proposing examples, assistance and choices.