Sigma-Lognormal handwriting features enable personalized detection of low-recovery days with PR-AUC exceeding baseline for cardiac and sleep metrics in an in-the-wild study.
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3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Mixed-methods studies of an LLM-supported peer support system uncover systematic misalignments where mental health experts flag critical safety and fidelity issues in peer responses that the supporters themselves do not perceive.
Comparative multi-modal study finds no significant stress differences between human and robot interactions for older adults, with robots linked to slightly more relaxed physiological states.
citing papers explorer
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From Pen Strokes to Sleep States: Detecting Low-Recovery Days Using Sigma-Lognormal Handwriting Features
Sigma-Lognormal handwriting features enable personalized detection of low-recovery days with PR-AUC exceeding baseline for cardiac and sleep metrics in an in-the-wild study.
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"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions
Mixed-methods studies of an LLM-supported peer support system uncover systematic misalignments where mental health experts flag critical safety and fidelity issues in peer responses that the supporters themselves do not perceive.
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Perception of Social Robots as Communication Partners in Healthcare for Older Adults
Comparative multi-modal study finds no significant stress differences between human and robot interactions for older adults, with robots linked to slightly more relaxed physiological states.