From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models
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XL
Xin Liu
Human Pose & Activity RecognitionHuman-LLM CollaborationPsychiatrists & PsychotherapistsHCI Researchers
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Research Questions
3- Can LLMs effectively analyze behavioral data from mobile and wearable devices to generate meaningful clinical insights?Category: Wearable, Sensing, and Physiological MonitoringSimilar questionsarrow_forward
- Can chain-of-thought (CoT) methods improve LLM reasoning ability in multi-sensor behavioral data analysis?Category: Wearable, Sensing, and Physiological MonitoringSimilar questionsarrow_forward
- Can LLM-generated reasoning content help mental health professionals improve diagnosis and treatment in clinical settings?Category: Wearable, Sensing, and Physiological MonitoringSimilar questionsarrow_forward
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Practical Problems
1- Mental health data lacks causal analysis and actionable clinical insights.Category: Wearable, Sensing, and Physiological MonitoringSimilar questionsarrow_forward
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CHI '24· Human-LLM Collaboration +1
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Based on Jaccard similarity of research subtopics & professions (≥60%)
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UbiComp
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Year
2024
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10 authors
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Human Pose & Activity Recognition, Human-LLM Collaboration
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Psychiatrists & Psychotherapists, HCI Researchers
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