Abstract
A novel approach for introducing adaptivity to user satisfaction into dialogue management is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue or to handle problematic situations better. In this contribution, the theoretical aspects of rendering the dialogue cycle adaptive are outlined. Furthermore, a detailed description of how an existing dialogue management component is extended to adapting to user satisfaction is described. The approach is validated by presenting an actual implementation. For a proof-of-concept, the resulting dialogue manager is applied in an experiment comparing different confirmation strategies. Having a simple dialogue, the adaptive strategy performs successful and as good as the best strategy.
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Feature list: UTD, RePrompt?, DD, MeanASRConfidence, #ASRSuccess, %ASRSuccess, #ASRRejections, %ASRRejections, #TimeOutPrompts, %TimeOutPrompts, {Mean}ASRConfidence, {#}ASRSuccess, {#}ASRRejections, {#}RePrompts, {#}SystemQuestions.
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Ultes, S., Dikme, H., Minker, W. (2016). Dialogue Management for User-Centered Adaptive Dialogue. In: Rudnicky, A., Raux, A., Lane, I., Misu, T. (eds) Situated Dialog in Speech-Based Human-Computer Interaction. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-21834-2_5
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DOI: https://doi.org/10.1007/978-3-319-21834-2_5
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