Interaction Quality in Human-Human Conversations: Problems and Possible Solutions

• Published in: Journal of Siberian Federal University. Mathematics & Physics 2015-01, Vol.8 (2), p.217-223
• Main Authors: Spirina, Anastasiia V, Semenkin, Eugene S, Schmitt, Alexander, Minker, Wolfgang
• Format: Article
• Language: English
• Subjects: Computer programs; Computer simulation; Conversation; Human; Mathematical models; Speech; Tasks
• ISSN: 1997-1397; 2313-6022
• DOI: 10.17516/1997-1397-2015-8-2-217-223

Speech analysis nowadays is widespread. One of its applications is designing Spoken Dialogue Systems, which allow users to interact with computer systems using natural spoken language. The Interaction Quality is a quality metric, which is used in this field to evaluate the quality of interaction between computer and human. It is based on various speech features. The aim of the Interaction Quality model design is to improve Spoken Dialogue Systems by introducing information about Interaction Quality into Spoken Dialogue Modeling. There exists some state-of-the-art related to the Interaction Quality in spoken human-computer communication. In turn, measuring the Interaction Quality for human- human conversation reveals to be an increasingly difficult task. Different types of dialogue exist and for each type the Interaction Quality measure has a different meaning. Furthermore, a specific data corpus is required for modeling the Interaction Quality for each type of dialogue. Researchers have described the idea of developing software tool for semi-automatic dialogue corpus generation, which can help to keep the time for preparing corpora.