Presentations (Communicative Events)

Detecting Certainness in Spoken Tutorial Dialogues

Liscombe, Jackson; Hirschberg, Julia Bell; Venditti, Jennifer J.

What role does affect play in spoken tutorial systems and is it automatically detectable? We investigated the classification of student certainness in a corpus collected for ITSPOKE, a speech-enabled Intelligent Tutorial System (ITS). Our study suggests that tutors respond to indications of student uncertainty differently from student certainty. Results of machine learning experiments indicate that acoustic-prosodic features can distinguish student certainness from other student states. A combination of acoustic-prosodic features extracted at two levels of intonational analysis --- breath groups and turns --- achieves 76.42% classification accuracy, a 15.8% relative improvement over baseline performance. Our results suggest that student certainness can be automatically detected and utilized to create better spoke dialog ITSs.


More About This Work

Academic Units
Computer Science
Proceedings of Eurospeech'05
Published Here
June 4, 2013