Mathematics & Physics 2015, 8(2), 217–223 УДК 517.9 Interaction Quality in Human-Human Conversations: Problems and Possible Solutions Anastasiia V. Spirina∗ Eugene S. Semenkin† Institute of Computer Science and Telecommunications Siberian State Aerospace University Krasnoyarskiy Rabochiy, 31, Krasnoyarsk, 660014 Russia Alexander Schmitt‡ Wolfgang Minker§ Institute of Communications Engineering Ulm University Albert Einstein-Allee, 43, Ulm, 89081 Germany Received 10.01.2015, received in revised form 25.02.2015, accepted 23.03.2015 Speech analysis nowadays is widespread. <...> 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. <...> In turn, measuring the Interaction Quality for humanhuman 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. <...> We describe the idea of developing software tool for semi-automatic dialogue corpus generation, which can help to keep the time for preparing corpora. <...> What is more, the results of the Interaction Quality modeling can be useful in the field of manned space exploration for developing systems for automatic monitoring the conditions of the crew of a spaceship, especially for long interplanetary flights. <...> Further development of the work on the Interaction Quality modeling will help to track automatically relationship between crew members on the basis of their speech. <...> Using various approaches it is possible to extract different information from speech automatically: textual information, audio/prosodic features of speech, paralinguistic information (such ∗s_nastia@mail.ru †eugenesemenkin@yandex.ru ‡alexander.schmitt@uni-ulm.de §wolfgang.minker@uni-ulm.de Siberian Federal University. <...> All rights reserved c – 217 – Anastasiia V.Spirina, Eugene S.Semenkin, Alexander Schmitt, Wolfgang Minker Interaction Quality . as: gender, emotions, age). <...> In this case extracted information can help to optimize inbound and outbound calls of a company, to find problems in the customer support (through call-center), to analyze the satisfaction of the callers. <...> In this paper we have focused on main problems <...>