NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy

Abstract

In this paper, we explore the benefits of our next-generation annotation and analysis tool NOVA in the domain of psychotherapy. The NOVA tool has been developed, tested and applied in behaviour studies for several years and psychotherapy sessions offer a great way to expand areas of application into a challenging yet promising field. In such scenarios, interactions with patients are often rated by questionnaires and the therapist’s subjective rating, yet a qualitative analysis of the patient’s non-verbal behaviours can only be performed in a limited way as this is very expensive and time-consuming. A main aspect of NOVA is the possibility of applying semi-supervised active learning where Machine Learning techniques are already used during the annotation process by giving the possibility to pre-label data automatically. Furthermore, NOVA provides therapists with a confidence value of the automatically predicted annotations. This way, also non-ML experts get to understand whether they can trust their ML models for the problem at hand.