A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces

Conversational interfaces have become a hot topic during the last years. Major research groups and technology companies have been making huge investments in research into technologies such as Artificial Intelligence, deep neural networks, machine learning, and natural language understanding with the aim of creating intelligent assistants that will enable users to interact with information and services in a natural, conversational way. However, most of the current conversational interfaces use hand-crafting dialog strategies and architectures tightly coupled to the application domain and are not adapted to the specific requirements and preferences of each user. In this paper, we propose a multi-agent architecture to develop user-adapted conversational interfaces. Our proposal considers two types of agents. Expert agents access different knowledge sources, and decision agents coordinate them to provide a coherent response to the user. We describe our proposal and its practical application to develop a conversational interface that provides bus schedule information.

[1]  Roberto Pieraccini.  The Voice in the Machine: Building Computers That Understand Speech , 2012 .

[2]  Ramón López-Cózar,et al.  A domain-independent statistical methodology for dialog management in spoken dialog systems , 2014, Comput. Speech Lang..

[3]  A R Rodolfo Pazos,et al.  Natural Language Interfaces to Databases: An Analysis of the State of the Art , 2013, HIS 2013.

[4]  Joseph Polifroni,et al.  Galaxy-II as an Architecture for Spoken Dialogue Evaluation , 2000, LREC.

[5]  David Traum,et al.  The Information State Approach to Dialogue Management , 2003 .

[6]  Juan Luis Castro,et al.  A multi-agent conversational system with heterogeneous data sources access , 2016, Expert Syst. Appl..

[7]  Ryosuke Ota,et al.  Proposal of Open-ended Dialog System Based on Topic Maps , 2014 .

[8]  Gary Geunbae Lee,et al.  Natural Language Dialog Systems and Intelligent Assistants , 2015, Springer International Publishing.

[9]  Maxine Eskénazi,et al.  Spoken Dialog Challenge 2010 , 2010, 2010 IEEE Spoken Language Technology Workshop.

[10]  Victor Zue,et al.  GALAXY: a human-language interface to on-line travel information , 1994, ICSLP.

[11]  Stephanie Seneff,et al.  Lexical stress modeling for improved speech recognition of spontaneous telephone speech in the jupiter domain , 2001, INTERSPEECH.

[12]  Victor Zue,et al.  YINHE: a Mandarin Chinese version of the GALAXY system , 1997, EUROSPEECH.

[13]  David Griol,et al.  The Conversational Interface: Talking to Smart Devices , 2016 .

[14]  Wolfgang Minker,et al.  A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let’s Go Bus Information System , 2012, LREC.

[15]  James R. Glass,et al.  Multilingual language generation across multiple domains , 1994, ICSLP.