Althoff, Tim

Large-scale physical activity data reveal worldwide activity inequality

Althoff, T., Sosič, R., Hicks, J. L., King, A. C., Delp, S. L., & Leskovec, J. (2017) · Nature

Physical Activity and HealthObesity, Physical Activity, Diet

Cited by 1,000

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

Sharma, A., Lin, I. W., Miner, A. S., Atkins, D. C., & Althoff, T. (2023) · Nature Machine Intelligence

Digital Mental Health InterventionsMental Health via Writing

Cited by 500

Large-scale analysis of counseling conversations: an application of natural language processing to mental health

Althoff, T., Clark, K., & Leskovec, J. (2016) · Transactions of the Association for Computational Linguistics

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 322

A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support

Sharma, A., Miner, A., Atkins, D., & Althoff, T. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 268

Towards a Science of Scaling Agent Systems

Kim, Y., Gu, K., Park, C., Park, C., Schmidgall, S., Heydari, A. A., Yan, Y., Zhang, Z., Zhuang, Y., Liu, Y., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 197

Best practices for analyzing large-scale health data from wearables and smartphone apps

Hicks, J. L., Althoff, T., Sosic, R., Kuhar, P., Bostjancic, B., King, A. C., Leskovec, J., & Delp, S. L. (2019) · npj Digital Medicine

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 183

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

Xu, X., Liu, X., Zhang, H., Wang, W., Nepal, S., Sefidgar, Y., Seo, W., Kuehn, K. S., Huckins, J. F., Morris, M. E., et al. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 96

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

Gu, K., Grunde-McLaughlin, M., McNutt, A., Heer, J., & Althoff, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsSoftware Engineering Research

Cited by 40

Gendered Mental Health Stigma in Masked Language Models

Lin, I., Njoo, L., Field, A., Sharma, A., Reinecke, K., Althoff, T., & Tsvetkov, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIMental Health Treatment and Access

Cited by 33

A Computational Framework for Behavioral Assessment of LLM Therapists

Chiu, Y. Y., Sharma, A., Lin, I. W., & Althoff, T. (2024) · arXiv

Digital Mental Health InterventionsArtificial Intelligence in Healthcare and Education

Cited by 27

Rethinking technology innovation for mental health: framework for multi-sectoral collaboration

Suh, J., Pendse, S. R., Lewis, R., Howe, E., Saha, K., Okoli, E., Amores, J., Ramos, G., Shen, J., Borghouts, J., et al. (2024) · Nature Mental Health

Digital Mental Health InterventionsImpact of Technology on Adolescents

Cited by 8

Scaling Wearable Foundation Models

Narayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., et al. (2024) · arXiv

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 6

Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets

Merrill, M. A., & Althoff, T. (2022) · arXiv

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 5