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Turn-Taking Behavior in a Human Tutoring Corpus

  • Zahra Rahimi
  • Homa B. Hashemi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

Analysis of turn-taking in tutoring dialogues can be helpful to understand the procedure of tutoring and also the influence with regard to demographics between students and the tutor. In this research, we analyze turn-taking behavior between students in a human-human spoken tutoring system. Our approach is to learn turn-taking models using dialog activity state sequences and then we measure the association of these models with students’ demographic features (gender and education). The experimental results show that female students speak simultaneously longer with the tutor than male students, female activities are less than male activities and also the tutor speaks longer with students who have lower pre-test score.

Keywords

Female Student Male Student State Sequence Human Tutor Tutoring Dialogue 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zahra Rahimi
    • 1
  • Homa B. Hashemi
    • 1
  1. 1.Intelligent Systems ProgramUniversity of PittsburghPittsburghUSA

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