Abstract
Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to provide natural interaction with humans. This work proposes to extend conversational agents’ benefits for social skills training by analysing the emotion conveyed by the user’s speech. For that, we developed a new system that captures emotions from human voice and, combined with the context of a particular situation, uses this to influence the internal state of the agent and change its behaviour. An example of the system’s use is shown and its limitations and advantages are discussed, together with the internal workflow of the system.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Technologies for Interactive Entertainment - 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28-30, 2016, Revised Selected Papers |
| Editors | Ronald Poppe, John-Jules Meyer, Remco Veltkamp, Mehdi Dastani |
| Publisher | Springer Verlag |
| Pages | 285-291 |
| Number of pages | 7 |
| Volume | 178 |
| ISBN (Print) | 978-3-319-49615-3 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 8th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2016 - Utrecht, Netherlands Duration: 28 Jun 2016 → 30 Jun 2016 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
|---|---|
| Publisher | Springer |
| Volume | 178 |
| ISSN (Print) | 1867-8211 |
Conference
| Conference | 8th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2016 |
|---|---|
| Country/Territory | Netherlands |
| City | Utrecht |
| Period | 28/06/16 → 30/06/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- Emotions
- Social skills training
- Speech analysis
- Virtual agents
- Vocal signals
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