Designing Support for Sensemaking in Multimodal, Multi-model Mental Health Assessments
Mental health assessments increasingly rely on remote formats that produce rich but complex multimodal data in the form of text, audio, and video, processed through multiple machine learning models. While these environments offer new opportunities for insight, they also pose significant challenges for effective clinical sensemaking. This study introduces a dashboard designed to address these chall
