Matthias Kraus


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A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation
Matthias Kraus | Fabian Fischbach | Pascal Jansen | Wolfgang Minker
Proceedings of the 12th Language Resources and Evaluation Conference

Recommendation systems aim at facilitating information retrieval for users by taking into account their preferences. Based on previous user behaviour, such a system suggests items or provides information that a user might like or find useful. Nonetheless, how to provide suggestions is still an open question. Depending on the way a recommendation is communicated influences the user’s perception of the system. This paper presents an empirical study on the effects of proactive dialogue strategies on user acceptance. Therefore, an explicit strategy based on user preferences provided directly by the user, and an implicit proactive strategy, using autonomously gathered information, are compared. The results show that proactive dialogue systems significantly affect the perception of human-computer interaction. Although no significant differences are found between implicit and explicit strategies, proactivity significantly influences the user experience compared to reactive system behaviour. The study contributes new insights to the human-agent interaction and the voice user interface design. Furthermore, we discover interesting tendencies that motivate futurework.


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Effects of Gender Stereotypes on Trust and Likability in Spoken Human-Robot Interaction
Matthias Kraus | Johannes Kraus | Martin Baumann | Wolfgang Minker
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Quality-adaptive Spoken Dialogue Initiative Selection And Implications On Reward Modelling
Stefan Ultes | Matthias Kraus | Alexander Schmitt | Wolfgang Minker
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue