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User Evaluation of a Conversational Recommender System

Wärnestål, Pontus

Konferensbidrag (Refereegranskat)


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.

Citera: Wärnestål, Pontus, User Evaluation of a Conversational Recommender System, 4th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems : Edinburgh, Scotland: August 1, 2005., s. 32-39, 2005http://www.academia.edu/1893257/User_evaluation_of_a_conversational_recommender_system