In this episode, I catch up with Dr Taylor A. Braund to hear about his research into digital phenotyping. In particular, we discuss the link between mental health symptoms and keystroke metadata from smartphones.
Research mentioned in this episode
Braund, T. A., O’Dea, B., Bal, D., Maston, K., Larsen, M., Werner-Seidler, A., Tillman, G., & Christensen, H. (2023).
Associations between smartphone keystroke metadata and mental health symptoms in adolescents: Findings from the Future Proofing Study. JMIR Mental Health, 10(e44986).
Braund, T. A., Zin, M. T., Boonstra, T. W., Wong, Q. J. J., Larsen, M. E., Christensen, H., Tillman, G., O’Dea, B. (2022).
Smartphone sensor data for identifying and monitoring symptoms of mood disorders: A longitudinal observational study. JMIR Mental Health, 9(5):e35549
O’Dea, B., Braund, T. A., Batterham, P. J., Larsen, M. E., Glozier, N., & Whitton, A. E. (2024).
Reading between the lines: Identifying the linguistic markers of Anhedonia for the stratification of depression. CHI Conference on Human Factors in Computing Systems. (Paper)
Seminal digital phenotyping papers
Some available digital phenotyping platforms
Cite this episode
MacDonald, J. B. & Braund, T. A. (2024, Oct 1). Digital phenotyping: Using smartphone metadata to predict mental health symptoms (No. 22) [Audio podcast episode]. In
Psych Attack.
www.psychattack.com
Transcript
The transcript for this episode was developed using transcription software. There may be some errors in the content as I do not have capacity to review for accuracy.
Acknowledgements
Psych Attack is created and hosted by
Dr Jasmine B. MacDonald. The video and audio for this episode was edited by Morgan McRae. Special thanks to Dr Taylor A. Braund for sharing your time and expertise. Please note that the views and opinions expressed by Taylor in this episode are his own and do not necessarily reflect the official position or policy of his employer.