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Issue title: Special Section: Intelligent and Fuzzy Systems applied to Language & Knowledge Engineering
Guest editors: David Pinto and Vivek Singh
Article type: Research Article
Authors: Sidorov, Grigoria; * | Markov, Iliaa; b | Kolesnikova, Olgac | Chanona-Hernández, Lilianad
Affiliations: [a] Center for Computing Research, Instituto Politécnico Nacional, Mexico City, Mexico | [b] INRIA, Paris, France | [c] Superior School of Computer Sciences, Instituto Politécnico Nacional, Mexico City, Mexico | [d] School of Mechanical and Electrical Engineering, Instituto Politécnico Nacional, Mexico City, Mexico
Correspondence: [*] Corresponding author. Grigori Sidorov, Center for Computing Research, Instituto Politécnico Nacional, 07738, Mexico City, Mexico. E-mail: sidorov@cic.ipn.mx.
Abstract: In spite of having been investigated for over fifty years, developing a robust spoken dialog management system remains an open research issue in robotics and natural language processing. In this paper, we present a language-independent spoken dialog management module integrated into a human-robot interaction system. We adopt an algorithmic approach to dialog modeling. A mobile robot functioning as a shopping assistant exemplifies the proposed approach. The dialog module is composed of a state transition network, in which state switches are conditioned by both visual and communicative factors. We use the formalism of a finite state automaton, where the robot changes its state by performing a speech act or a non-verbal action from the set of specified act/action types.
Keywords: Shopping assistant robot, spoken dialog management, speech acts, state transition network, finite automaton, visual factors, communicative factors
DOI: 10.3233/JIFS-179036
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4889-4899, 2019
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