Projects per year
Abstract
Identifying the level of expertise of its users is important for a system since it can lead to a better interaction through adaptation techniques. Furthermore, this information can be used in offline processes of root cause analysis. However, not much effort has been put into automatically identifying the level of expertise of an user, especially in dialog-based interactions. In this paper we present an approach based on a specific set of task related features. Based on the distribution of the features among the two classes – Novice and Expert – we used Random Forests as a classification approach. Furthermore, we used a Support Vector Machine classifier, in order to perform a result comparison. By applying these approaches on data from a real system, Let’s Go, we obtained preliminary results that we consider positive, given the difficulty of the task and the lack of competing approaches for comparison.
Original language | English |
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Title of host publication | Advances in Speech and Language Technologies for Iberian Languages |
Subtitle of host publication | Third International Conference, IberSPEECH 2016, Lisbon, Portugal, November 23-25, 2016, Proceedings |
Editors | Alberto Abad, Alfonso Ortega, António Teixeira, Carmen García Mateo, Carlos D. Martínez Hinarejos, Fernando Perdigão, Fernando Batista, Nuno Mamede |
Publisher | Springer Nature Switzerland AG |
Pages | 245-254 |
ISBN (Electronic) | 978-3-319-49169-1 |
ISBN (Print) | 978-3-319-49168-4 |
DOIs | |
Publication status | Published - Nov 2016 |
Externally published | Yes |
Event | International Conference on Advances in Speech and Language Technologies for Iberian Languages - Lisbon, Portugal Duration: 23 Nov 2016 → 25 Nov 2016 https://link.springer.com/conference/iberspeech |
Publication series
Series | Lecture Notes in Computer Science |
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Volume | 10077 |
ISSN | 0302-9743 |
Conference
Conference | International Conference on Advances in Speech and Language Technologies for Iberian Languages |
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Abbreviated title | IberSPEECH 2016 |
Country | Portugal |
City | Lisbon |
Period | 23/11/16 → 25/11/16 |
Internet address |
Keywords
- User expertise
- Let’s Go
- SVM
- Random Forest
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Projects
- 1 Finished
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19
Project: Research