  Digital biomarkers (DBMs) are a growing field and increasingly tested in the
therapeutic areas of psychiatric and neurodegenerative disorders. Meanwhile,
isolated silos of knowledge of audiovisual DBMs use in industry, academia, and
clinics hinder their widespread adoption in clinical research. How can we help
these non-technical domain experts to explore audiovisual digital biomarkers?
The use of open source software in biomedical research to extract patient
behavior changes is growing and inspiring a shift toward accessibility to
address this problem. OpenDBM integrates several popular audio and visual open
source behavior extraction toolkits. We present a visual analysis tool as an
extension of the growing open source software, OpenDBM, to promote the adoption
of audiovisual DBMs in basic and applied research. Our tool illustrates
patterns in behavioral data while supporting interactive visual analysis of any
subset of derived or raw DBM variables extracted through OpenDBM.
