Modeling user satisfaction with Hidden Markov Model
Klaus-Peter Engelbrech, Florian Gödde, Felix Hartard, Hamed Ketabdar, Sebastian Möller · 2009
Models for predicting judgments about the quality of Spoken Dialog Systems have been used as overall evaluation metric or as optimization functions in adaptive systems. We describe a new approach to such models, using Hidden Markov Models (HMMs). The user's opinion is regarded as a continuous process evolving over time. We present the data collection method and results achieved with the HMM model.