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User Evaluation of a Conversational Recommender System
Department of Computer Science, Linköping University, Linköping, Sweden.ORCID iD: 0000-0002-2791-6647
2005 (English)In: 4th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems: Edinburgh, Scotland: August 1, 2005 / [ed] Ingrid Zukerman, Jan Alexandersson & Arne Jönsson, 2005, 32-39 p.Conference paper, Published paper (Refereed)
Abstract [en]

Conversational recommender systems (CRSs) approach user preference acquisition from a conversational point of view, where preferences are captured and put to use in the course of on-going natural language dialogue. The approach is motivated by its aim to make interaction efficient and natural, to acquire preferences from the user in a context when she is motivated to give them, as well as to facilitate exploration of the domain and the development of the user’s preferences. A CRS’s dialogue strategy to achieve these aspects of the interaction is crucial for its performance and usability. This paper reports on a user satisfaction evaluation of ACORN, which is a CRS in the movie domain. The results of the study indicate a high user satisfaction with the interaction from nine usability aspects, and that ACORN’s dialogue strategy is suitable for efficient interaction and user preference modeling, and facilitates domain exploration.

Place, publisher, year, edition, pages
2005. 32-39 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-22286OAI: oai:DiVA.org:hh-22286DiVA: diva2:622782
Conference
International Joint Conference on Artificial Intelligence, 4th IJCAI, Edinburgh, Scotland, August 1, 2005
Available from: 2013-05-23 Created: 2013-05-23 Last updated: 2015-05-19Bibliographically approved

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Total: 87 hits
CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Output format
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