Bergmann K, Kopp S, Eyssel FA. Individualized Gesturing Outperforms Average Gesturing – Evaluating Gesture Production in Virtual Humans. In: Allbeck J, Badler N, Bickmore T, Pelachaud C, Safonova A, eds. Intelligent Virtual Agents. Proceedings of the 10th International Conference on Intelligent Virtual Agents . Lecture Notes in Computer Science. Vol 6356. Berlin/Heidelberg, Germany: Springer; 2010: 104-117. ; How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated in an evaluation study of co-verbal iconic gestures produced with the Bayesian network-based production model GNetIc. A network learned from a corpus of several speakers was compared with networks learned from individual speaker data, as well as two control conditions. Results showed that automatically GNetIc-generated gestures increased the perceived quality of an object description given by a virtual human. Moreover, the virtual agent showing gesturing behavior generated with individual speaker networks was rated more positively in terms of likeability, competence and human-likeness.


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    Title :

    Individualized Gesturing Outperforms Average Gesturing – Evaluating Gesture Production in Virtual Humans


    Contributors:

    Publication date :

    2010-01-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English


    Keywords :

    Classification :

    DDC:    004 / 400 / 629




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