A flexible dialogue system for enhancing web usability

ABSTRACT

In this paper, we study how the performance and usability of web dialogue systems could be enhanced by using an appropriate representation of the different types of knowledge involved in communication: general dialogue mechanisms, specific domain-restricted linguistic and conceptual knowledge and information on how well the communication process is doing. We describe the experiments carried out to analyze how to improve this knowledge representation in the web dialogue system we developed.

REFERENCES

• 1: Jennifer Chu-Carroll , Jill Suzanne Nickerson, Evaluating automatic dialogue strategy adaptation for a spoken dialogue system, Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, p.202-209, April 29-May 04, 2000, Seattle, Washington
• 2: Marta Gatius , Meritxell González , Elisabet Comelles, An information state-based dialogue manager for making voice web smarter, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada [doi>10.1145/1242572.1242827]
• 3: Diane J. Litman , Shimei Pan, Designing and Evaluating an Adaptive Spoken Dialogue System, User Modeling and User-Adapted Interaction, v.12 n.2-3, p.111-137, 2002 [doi>10.1023/A:1015036910358]
• 4: J. Polifroni, G. Chung and S. Seneff. Towars the Automatic Generation of Mixed-Initiave Dialogue Systems from Web Contents. In Proceedings of EUROSPEECH'03, 193--195.
• 5: Marilyn A. Walker , Diane J. Litman , Candace A. Kamm , Alicia Abella, PARADISE: a framework for evaluating spoken dialogue agents, Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, p.271-280, July 07-12, 1997, Madrid, Spain

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

General Terms:
Design, Experimentation, Human Factors

Keywords:
adaptive dialogue systems, evaluation, mixed-initiative dialogues, web dialogue systems