Relating dominance of dialogue participants with their verbal intelligence scores

Zablotskaya, Kseniya and Rahim, Umai and Fernández Martín, Jaime and Minker, Wolfgang (2012). Relating dominance of dialogue participants with their verbal intelligence scores. In: "8 th International Conference on Language Resources and Evaluation (LREC)", 21/05/2012 - 27/05/2012, Istanbul, Turkey. pp. 1289-1292.

Description

Title: Relating dominance of dialogue participants with their verbal intelligence scores
Author/s:
  • Zablotskaya, Kseniya
  • Rahim, Umai
  • Fernández Martín, Jaime
  • Minker, Wolfgang
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8 th International Conference on Language Resources and Evaluation (LREC)
Event Dates: 21/05/2012 - 27/05/2012
Event Location: Istanbul, Turkey
Title of Book: 8 th International Conference on Language Resources and Evaluation (LREC)
Date: 2012
Subjects:
Freetext Keywords: Spoken language dialogue system, verbal intelligence, dominance, k-means clustering, verbal and nonverbal behaviour
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this work we investigated whether there is a relationship between dominant behaviour of dialogue participants and their verbal intelligence. The analysis is based on a corpus containing 56 dialogues and verbal intelligence scores of the test persons. All the dialogues were divided into three groups: H-H is a group of dialogues between higher verbal intelligence participants, L-L is a group of dialogues between lower verbal intelligence participant and L-H is a group of all the other dialogues. The dominance scores of the dialogue partners from each group were analysed. The analysis showed that differences between dominance scores and verbal intelligence coefficients for L-L were positively correlated. Verbal intelligence scores of the test persons were compared to other features that may reflect dominant behaviour. The analysis showed that number of interruptions, long utterances, times grabbed the floor, influence diffusion model, number of agreements and several acoustic features may be related to verbal intelligence. These features were used for the automatic classification of the dialogue partners into two groups (lower and higher verbal intelligence participants); the achieved accuracy was 89.36%.

More information

Item ID: 20425
DC Identifier: http://oa.upm.es/20425/
OAI Identifier: oai:oa.upm.es:20425
Deposited by: Memoria Investigacion
Deposited on: 06 Oct 2013 09:45
Last Modified: 21 Apr 2016 23:13
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