Abstract
| Original language | English |
|---|---|
| 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
| Name | Lecture Notes in Computer Science book series |
|---|---|
| Publisher | Springer Nature |
| Volume | 10077 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
| Name | Lecture Notes in Artificial Intelligence book sub series |
|---|---|
| Publisher | Springer Nature |
| Volume | 10077 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | International Conference on Advances in Speech and Language Technologies for Iberian Languages |
|---|---|
| Abbreviated title | IberSPEECH 2016 |
| Country | Portugal |
| City | Lisbon |
| Period | 23/11/16 → 25/11/16 |
| Internet address |
Fingerprint
Keywords
- User expertise
- Let’s Go
- SVM
- Random Forest
Cite this
}
Assessing User Expertise in Spoken Dialog System Interactions. / Ribeiro, Eugenio; Batista, Fernando; Trancoso, Isabel; Lopes, Jose; Ribeiro, Ricardo; de Matos, David.
Advances in Speech and Language Technologies for Iberian Languages: Third International Conference, IberSPEECH 2016, Lisbon, Portugal, November 23-25, 2016, Proceedings. ed. / Alberto Abad; Alfonso Ortega; António Teixeira; Carmen García Mateo; Carlos D. Martínez Hinarejos; Fernando Perdigão; Fernando Batista; Nuno Mamede. Springer Nature Switzerland AG, 2016. p. 245-254 (Lecture Notes in Computer Science book series; Vol. 10077), (Lecture Notes in Artificial Intelligence book sub series; Vol. 10077).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
TY - GEN
T1 - Assessing User Expertise in Spoken Dialog System Interactions
AU - Ribeiro, Eugenio
AU - Batista, Fernando
AU - Trancoso, Isabel
AU - Lopes, Jose
AU - Ribeiro, Ricardo
AU - de Matos, David
PY - 2016/11
Y1 - 2016/11
N2 - 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.
AB - 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.
KW - User expertise
KW - Let’s Go
KW - SVM
KW - Random Forest
U2 - 10.1007/978-3-319-49169-1_24
DO - 10.1007/978-3-319-49169-1_24
M3 - Conference article in proceeding
SN - 978-3-319-49168-4
T3 - Lecture Notes in Computer Science book series
SP - 245
EP - 254
BT - Advances in Speech and Language Technologies for Iberian Languages
A2 - Abad, Alberto
A2 - Ortega, Alfonso
A2 - Teixeira, António
A2 - García Mateo, Carmen
A2 - D. Martínez Hinarejos, Carlos
A2 - Perdigão, Fernando
A2 - Batista, Fernando
A2 - Mamede, Nuno
PB - Springer Nature Switzerland AG
ER -