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English(EN) Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors

人工智能通过会话模式预测心理健康咨询师的技能发展

研究人员开发了一种预测心理健康危机咨询师长期会话技能发展的方法。该方法识别咨询师最初遇到困难的时刻,并分析他们如何随着时间的推移调整对类似情况的反应。然后,利用这种适应模式来预测咨询师在未来几个月或几年内是否有可能提高其会话能力,其表现优于基线方法。 AI

影响 这项研究有助于识别需要额外支持的咨询师,从而可能改善心理健康危机干预的结果。

排序理由 该条目是一篇学术论文,详细介绍了一种预测技能发展的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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人工智能通过会话模式预测心理健康咨询师的技能发展

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该条目是一篇学术论文,详细介绍了一种预测技能发展的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Vivian Nguyen, Lillian Lee, Elizabeth A. Olson, Cristian Danescu-Niculescu-Mizil ·

    从低迷中适应:心理健康危机咨询师长期会话技能发展预测

    arXiv:2609.04350v1 Announce Type: cross Abstract: How do people learn to become better conversationalists? This question is especially important in the context of mental-health counseling, where conversational skills are essential, yet volunteer counselors often have limited acce…