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New framework improves panic arousal timing prediction using LLMs

Researchers have developed a new framework called PanicCognitivePath (PCP) to improve the prediction of emotional arousal timing before panic attacks. PCP addresses limitations in existing methods by explicitly modeling the appraisal emotion theory, which links simultaneous evaluation across multiple threat dimensions to emotional arousal. The framework introduces a unified risk metric and an explicit Emotion node within a Belief-Desire-Emotion-Intention (BDEI) pathway, confining the LLM's role to parameter estimation to mitigate hallucinations. Experiments on data from Hurricane Sandy demonstrated that PCP enhanced arousal timing accuracy by 10.68% compared to baseline methods. AI

RANK_REASON The cluster contains an academic paper detailing a new framework and experimental results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mengzhu Liu, Long Qin, Chuan Ai, Zhengqiu Zhu, Hongru Liang, Chen Gao, Yong Li, Xin Lu, Quanjun Yin ·

    When Cognitive Graphs Meet LLMs: BDEI Cognitive Pathways for Panic Emotional Arousal Prediction

    arXiv:2606.15121v1 Announce Type: new Abstract: Predicting individual panic emotional arousal timing before manifestation is essential for proactive emergency intervention. Existing methods incorporate cognitive elements but none explicitly model the emotional arousal process, ma…