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A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces
- Source :
- Lecture Notes in Computer Science ISBN: 9783319596495, HAIS
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- 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.
- Subjects :
- Schedule
Computer science
Interface (Java)
Multi-agent system
010401 analytical chemistry
Natural language understanding
02 engineering and technology
computer.software_genre
01 natural sciences
0104 chemical sciences
Application domain
Human–computer interaction
0202 electrical engineering, electronic engineering, information engineering
Natural (music)
020201 artificial intelligence & image processing
Architecture
Dialog box
computer
Subjects
Details
- ISBN :
- 978-3-319-59649-5
- ISBNs :
- 9783319596495
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783319596495, HAIS
- Accession number :
- edsair.doi...........dae2115efaffac31bd6b9eda46748986
- Full Text :
- https://doi.org/10.1007/978-3-319-59650-1_48