×

Analysis of the oral interface in the interactive servicing systems. I. (English. Russian original) Zbl 1163.93366

Autom. Remote Control 70, No. 2, 244-252 (2009); translation from Avtom. Telemekh. 2009, No. 2, 80-89 (2009).
Summary: The oral technologies created a new type of the human-computer interaction. The oral servers and oral portals which implement a new model of human-computer communications may be studied using the methods of the queuing theory. Development of the analytical models to estimate some numerical characteristics of the human-computer one-channel dialogue such as the probability of successful dialogue, number of overinterrogations, and mean time of dialogue are the immediate subject matters of such studies. These characteristics may be used further to analyze operation of the entire queuing system that models the multichannel oral portal. The main parameters of the human-computer dialogue such as the probability of correct recognition of an element and the entire dialogue at overinterrogations and the time used for a dialogue element are considered here. The parameters for estimation of the dialogue length are determined. A classification of the dialogue control algorithms at oral interaction of the client with the computer-aided information and servicing systems is developed. The algorithms are compared in terms of duration with regard for the desired reliability of recognition.
[Part II, cf. the authors, Autom. Remote Control 70, No. 3, 434–448 (2009); translation from Avtom. Telemekh. 2009, No. 3, 97–113 (2009; Zbl 1163.93366).]

MSC:

93C85 Automated systems (robots, etc.) in control theory
68M20 Performance evaluation, queueing, and scheduling in the context of computer systems

Citations:

Zbl 1163.93366
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] Cozanne, A. and Siroux, J., Strategies for Oral Dialogue Control, Proc. ICSLP, 1994, pp. 963–966.
[2] Levin, E. and Pieraccini, R., A Stochastic Model of Computer-Human Interaction for Learning Dialogue Strategies, Proc. EUROSPEECH, 1997, vol. 4, pp. 1883–188.
[3] Niimi, Y. and Nishimoto, T., Mathematical Analysis of Dialogue Control Strategies, Proc. EUROSPEECH, 1999, pp. 1403–1406.
[4] Louloudis, D., Georgila, K., Tsopanoglou, A., Fakotakis, N., and Kokkinakis, G., Efficient Strategy and Language Modeling in Human-Machine Dialogues, SCI, 2001, vol. XIII, pp. 229–234.
[5] Louloudis, D., Fakotakis, N., and Kokkinakis, G., Mathematical Modeling of Dialogue Control Strategies for Interactive Dialogue Systems, Proc. SPECOM, 2005, pp. 741–744.
[6] Farkhadov, M.P. and Zhozhikashvili, A.V., Mathematical Model to Calculate the Mean Number of Overinterrogations at Computer-aided Speech Recognition, Probl. Upravlen., 2006, no. 2, pp. 38–41.
[7] Bilik, R.V., Zhozhikashvili, V.A., Petukhova, N.V., and Farkhadov, M.P., Analysis of the Oral Interface in the Interactive Servicing Systems. II, Avtom. Telemekh., 2009 (in the press). · Zbl 1163.93367
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.