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By by Pontus Johansson.

ISBN-10: 9173739189

ISBN-13: 9789173739184

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The interaction model constitutes the first of this thesis’ contributions. 46 CHAPTER 3. DIALOGUE SYSTEM INTERACTION IN THE HOME Chapter 4 Human-Human Recommendation Dialogues User Study I left us with challenging implications for dialogue system design in the home context-of-use. To address these issues and issues on recommendation dialogues, a second study is designed. This study is labeled User Study II and the experimental setup and its analysis are described in this chapter. 1 User Study II In order to get empirical data covering aspects of recommendation dialogues, system initiative, and multimodality in dialogue, a corpus of human-human dialogues is collected.

Additional apparatus for this experiment includes: • A laptop connected to an extensive movie information database1 for the recommender to use. • A movie recommendation protocol—also called the “to-see list”—where the recommender writes down movie recommendations for the client. • Scratch pads and pencils for both client and recommender to use for notetaking. A stereo microphone connected to a MiniDisc recorder is used to record each dialogue session. com). 2. 3 49 Procedure The dialogues are between one dialogue partner playing a movie recommender role, and one partner acting as a client who is looking for movie recommendations.

Another recommender system approach is the Adaptive Place Advisor [33, 59], which was first presented with a graphical user interface [59], and then with a natural language interface [33]. The latter implementation is one of (if not the) first spoken personalized recommender dialogue system. The approach constrasts against the ranked-list approach commonly used in other recommender systems. Instead, the goal of the Adaptive Place Advisor is to narrow down the alternatives by having the user remove instead of re-order items.

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Design and development of recommender dialogue systems by by Pontus Johansson.

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