Interspeech'2005 - Eurospeech
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 speechenabled 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 acousticprosodic 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.
Bibliographic reference. Liscombe, Jackson / Hirschberg, Julia / Venditti, Jennifer J. (2005): "Detecting certainness in spoken tutorial dialogues", In INTERSPEECH-2005, 1837-1840.