Nicholas C. Jacobson

According to our database, Nicholas C. Jacobson authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing.

Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell

CoRR, February, 2025

2024

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare.

Daniel A. Adler, Yuewen Yang, Thalia Viranda, Xuhai Xu, David C. Mohr, Anna R. Van Meter, Julia C. Tartaglia, Nicholas C. Jacobson, Fei Wang, Deborah Estrin, Tanzeem Choudhury

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research.

Franklin Y. Ruan, Aiwei Zhang, Jenny Y. Oh, SouYoung Jin, Nicholas C. Jacobson

CoRR, 2024

The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens.

Damien Lekkas, Elad Yom-Tov, Michael V. Heinz, Joseph A. Gyorda, Theresa Nguyen, Paul J. Barr, Nicholas C. Jacobson

Comput. Hum. Behav., 2024

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

MoodCapture: Depression Detection using In-the-Wild Smartphone Images.

Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael V. Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George D. Price, Nicholas C. Jacobson, Andrew T. Campbell

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones.

Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, Matthew Nemesure, Michael V. Heinz, George D. Price, Damien Lekkas, Amanda C. Collins, Tess Griffin, Benjamin Buck, Sarah Masud Preum, Trevor Cohen, Nicholas C. Jacobson, Dror Ben-Zeev, Andrew T. Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

2022

Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom.

Damien Lekkas, George D. Price, Nicholas C. Jacobson

Comput. Hum. Behav., 2022

2020

Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones.

Nicholas C. Jacobson, Yeon Joo Chung

Sensors, 2020

2019

Digital biomarkers of mood disorders and symptom change.

Nicholas C. Jacobson, Hilary Weingarden, Sabine Wilhelm

npj Digit. Medicine, 2019