Evidence-Grounded Mapping of Multimodal Human Sensing Psychological Transdiagnostic Dimensions
Mobile and wearable sensing enables longitudinal observation of behavior, yet translating these signals into meaningful mental health constructs remains difficult. We introduce a clinician-in-the-loop benchmark for evaluating whether large language models (LLMs) can generate evidence-grounded Brief Hierarchical Taxonomy of Psychopathology (B-HiTOP) item profiles from passive sensing, ecological momentary assessment (EMA), and questionnaire evidence. Using the Generalization of Longitudinal Behavior Modeling (GLOBEM) dataset, we construct 14,592 participant-day instances and align multimodal evidence to 29 B-HiTOP items across five spectra. Since GLOBEM lacks B-HiTOP responses, we evaluate...
| Authors | Xiyun Hu, Xiangyuan Xue, Yuting Lyu et al. |
|---|---|
| Primary category | cs.HC |
| Published | 15 July 2026 |
| Last updated at source | 15 July 2026 |
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