May 17, 2024, 4:47 a.m. | Vasudha Varadarajan, Sverker Sikstr\"om, Oscar N. E. Kjell, H. Andrew Schwartz

cs.CL updates on arXiv.org arxiv.org

arXiv:2311.06467v2 Announce Type: replace
Abstract: Mental health issues differ widely among individuals, with varied signs and symptoms. Recently, language-based assessments have shown promise in capturing this diversity, but they require a substantial sample of words per person for accuracy. This work introduces the task of Adaptive Language-Based Assessment ALBA, which involves adaptively ordering questions while also scoring an individual's latent psychological trait using limited language responses to previous questions. To this end, we develop adaptive testing methods under two psychometric …

abstract accuracy arxiv assessment cs.ai cs.cl diversity health language mental health per person replace sample type words work

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