Higher-PHQ users bring more mental-health, relational, late-night, and high-disclosure concerns to ChatGPT without higher professional redirection, and language prediction is too weak for screening (AUROC 0.591).
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Behavior latticing synthesizes connections across unstructured user interactions to generate insights into underlying motivations, yielding deeper and more accurate user understanding than task-only models.
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Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
Higher-PHQ users bring more mental-health, relational, late-night, and high-disclosure concerns to ChatGPT without higher professional redirection, and language prediction is too weak for screening (AUROC 0.591).
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Behavior Latticing: Inferring User Motivations from Unstructured Interactions
Behavior latticing synthesizes connections across unstructured user interactions to generate insights into underlying motivations, yielding deeper and more accurate user understanding than task-only models.