Towards a tool for the Subjective Assessment of Speech System Interfaces (SASSI)
Natural Language Engineering
PARADISE: a framework for evaluating spoken dialogue agents
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
The kappa statistic: a second look
Computational Linguistics
The PARADISE Evaluation Framework: Issues and Findings
Computational Linguistics
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In order to evaluate the performance of the dialogue-manager component of a developing, Slovenian and Croatian spoken dialogue system, two Wizard-of-Oz experiments were performed. The only difference between the two experiment settings was in the dialogue-management manner, i.e., while in the first experiment dialogue management was performed by a human, the wizard, in the second experiment it was performed by the newly-implemented dialogue-manager component. The data from both Wizard-of-Oz experiments was evaluated with the PARADISE evaluation framework, a potential general methodology for evaluating and comparing different versions of spoken-language dialogue systems. The study ascertains a remarkable difference in the performance functions when taking different satisfaction-measure sums or even individual scores as the target to be predicted, it proves the indispensableness of the recently introduced database parameters when evaluating information-providing dialogue systems, and it confirms the dialogue manager's cooperativity subject to the incorporated knowledge representation.