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Wed Jan 15 16:21:11 +0000 2020
( Akademin för informationsteknologi )
User Evaluation of a Conversational Recommender System
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.
- DiVA: urn:nbn:se:hh:diva-22286