Dataset for “SpecialTime: Automatically Detecting Dialogue Acts from Speech to Support Parent-Child Interaction Therapy”

Parent-child interaction therapy (PCIT) helps parents improve the quality of interaction with children who have behavior problems. The therapy trains parents to use effective dialogue acts when interacting with their children. Besides weekly coaching by therapists, the therapy relies on deliberate practice of skills by parents in their homes. We developed SpecialTime, a system that provides parents engaged in PCIT with automatic, real-time feedback on their dialogue act use. To enable automatic classification of spoken dialogue acts in parent-child interaction, we created a dataset of 6,022 parent dialogue acts, annotated by experts with dialogue act labels that therapists use to code parent speech. We developed an algorithm that classifies the dialogue acts into 8 classes with an overall accuracy of 78 %.