mlsanityData to 7 Oct 2026

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

arXiv 2211.02733 ↗First posted 4 Nov 2022cs.LG cs.AI cs.HCcited by 28

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Abstract (arXiv)

Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehensive public dataset that serves as an open testbed for fair comparison among algorithms. Moreover, prior studies mainly evaluate algorithms using data from a single population within a short period, without measuring the cross-dataset generalizability of these algorithms. We present the first multi-year passive sensing datasets, containing over 700 user-years and 497 unique users' data collected from mobile and wearable sensors, together with a wide range of well-being metrics. Our datasets can support multiple cross-dataset evaluations of behavior modeling algorithms' generalizability across different users and years. As a starting point, we provide the benchmark results of 18 algorithms on the task of depression detection. Our results indicate that both prior depression detection algorithms and domain generalization techniques show potential but need further research to achieve adequate cross-dataset generalizability. We envision our multi-year datasets can support the ML community in developing generalizable longitudinal behavior modeling algorithms.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 28 of its 145 references that are in the map. First posted on arXiv 4 Nov 2022.

Builds on

28 of 145 references.

References · 28

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16 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 9; 2025: 2; 2026: 12.

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  1. 2023Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Datacited by 66
  2. 2024Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Datacited by 65
  3. 2023Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosiscited by 30
  4. 2023MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Interventioncited by 16
  5. 2026LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluationcited by 11
  6. 2024MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLMcited by 7
  7. 2024Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Interventioncited by 5
  8. 2024Using Self-supervised Learning Can Improve Model Fairnesscited by 5
  9. 2024Phase-driven Domain Generalizable Learning for Nonstationary Time Seriescited by 4
  10. 2026Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Modelscited by 4
  11. 2026Wearable Foundation Models Should Go Beyond Static Encoderscited by 3
  12. 2024A Systematic Review of NeurIPS Dataset Management Practicescited by 2
16 more
  1. 2024Explaining GPTs' Schema of Depression: A Machine Behavior Analysiscited by 2
  2. 2023Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Modelcited by 1
  3. 2024SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studiescited by 1
  4. 2024Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Researchcited by 1
  5. 2026A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Datacited by 1
  6. 2026SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streamscited by 1
  7. 2026HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devicescited by 1
  8. 2023ZzzGPT: An Interactive GPT Approach to Enhance Sleep Qualitycited by 0
  9. 2025Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modelingcited by 0
  10. 2025AttentiveGRUAE: An Attention-Based GRU Autoencoder for Temporal Clustering and Behavioral Characterization of Depression from Wearable Datacited by 0
  11. 2026Student Mental Health Screening via Fitbit Data Collected During the COVID-19 Pandemiccited by 0
  12. 2026Evaluating Federated Learning for Cross-Country Mood Inference from Smartphone Sensing Datacited by 0
  13. 2026Personalized Digital Health Modeling with Adaptive Support Userscited by 0
  14. 2026A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Healthcited by 0
  15. 2026Evidence-Grounded Mapping of Multimodal Human Sensing Psychological Transdiagnostic Dimensionscited by 0
  16. 2026On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Healthcited by 0