User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues

  • Authors:

  • Adelheit Stein;Jon Atle Gulla;Ulrich Thiel

  • Affiliations:

  • GMD-IPSI, German National Research Center for Information Technology, Integrated Publication and Information Systems Institute, Darmstadt, Germany. e-mail: stein@darmstadt.gmd.de;Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway;GMD-IPSI, German National Research Center for Information Technology, Integrated Publication and Information Systems Institute, Darmstadt, Germany. e-mail: stein@darmstadt.gmd.de

  • Venue:
  • User Modeling and User-Adapted Interaction
  • Year:
  • 1999

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Abstract

Intelligent dialogue systems usually concentrate on user support at the level of the domain of discourse, following a plan-based approach. Whereas this is appropriate for collaborative planning tasks, the situation in interactive information retrieval systems is quite different: there is no inherent plan-goal hierarchy, and users are known to often opportunistically change their goals and strategies during and through interaction. We need to allow for mixed-initiative retrieval dialogues, where the system evaluates the user‘s individual dialogue behavior and performs situation-dependent interpretation of user goals, to determine when to take the initiative and to change the control of the dialogue, e.g., to propose (new) problem-solving strategies to the user. In this article, we present the dialogue planning component of a concept-oriented, logic-based retrieval system (MIRACLE). Users are guided through the global stages of the retrieval interaction but may depart, at any time, from this guidance and change the direction of the dialogue. When users submit ambiguous queries or enter unexpected dialogue control acts, abductive reasoning is used to generate interpretations of these user inputs in light of the dialogue history and other internal knowledge sources. Based on these interpretations, the system initiates a short dialogue offering the user suitable options and strategies for proceeding with the retrieval dialogue. Depending on the user‘s choice and constraints resulting from the history, the system adapts its strategy accordingly.