Project Details
Project Description
The project will focus on AI extensions to Bicara, a configurable web-based one-to-one videoconference system developed by FIT. The qualities of the system arose from experiences of our Turner Institute collaborators using Zoom for one-to-one parent coaching interventions; workshops with headspace practitioners around the challenges of remote psychological therapy and support; and intensive co-design sessions with clinical psychologists.
Bicara responds to the challenges of presenting supplementary information to clients during an online session whilst maintaining an empathetic connection through video (e.g. removing the need for screen-sharing); capturing consistent annotations of supplementary material created during a session; and the need to capture and re-present segments of sessions back to clients as a core activity of an on-going intervention, allowing clients to review and reflect between sessions. Further addressing these challenges through the use of multimodal analytics is a primary goal of the project.
This project will leverage human resources at both Monash University Malaysia (2 PhDs in applied AI and 1 in clinical sciences, as part of the Next Gen AI Graduate AI in Mental Health program) and Monash University Australia (the large COLAM group and MRFF projects) to explore the applicability of multimodal learning analytics to the Bicara teletherapy system. The main outcomes of the project will be a significant multimodal annotated data set of annotated therapy sessions, provisional multimodal learning analytics algorithms and interfaces, and a pilot evaluation of the application of these algorithms for clinical psychologists in training.
Bicara responds to the challenges of presenting supplementary information to clients during an online session whilst maintaining an empathetic connection through video (e.g. removing the need for screen-sharing); capturing consistent annotations of supplementary material created during a session; and the need to capture and re-present segments of sessions back to clients as a core activity of an on-going intervention, allowing clients to review and reflect between sessions. Further addressing these challenges through the use of multimodal analytics is a primary goal of the project.
This project will leverage human resources at both Monash University Malaysia (2 PhDs in applied AI and 1 in clinical sciences, as part of the Next Gen AI Graduate AI in Mental Health program) and Monash University Australia (the large COLAM group and MRFF projects) to explore the applicability of multimodal learning analytics to the Bicara teletherapy system. The main outcomes of the project will be a significant multimodal annotated data set of annotated therapy sessions, provisional multimodal learning analytics algorithms and interfaces, and a pilot evaluation of the application of these algorithms for clinical psychologists in training.
| Acronym | DELTA |
|---|---|
| Status | Finished |
| Effective start/end date | 1/12/22 → 31/12/24 |