在自杀预防培训中验证GenAI反:QPR技能评估的混合方法研究
Yuval Haber1, Yossi Levi-Belz2,3, Yael Segal Elbak2
1The Program for Hermeneutics and Cultural Studies, Interdisciplinary Studies Unit, Bar-Ilan University, Ramat Gan, Israel.
Frontiers in medicine
|February 2, 2026
概括
生成型人工智能 (GenAI) 在评估自杀预防技能方面表现有前途,与人类专家评级有中等至强烈的相关性. 这项技术提供了可扩展的,公正的培训,尽管需要进一步校准以获得细微的反.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 传统的自杀预防培训,如问,说服和推 (QPR),缺乏可扩展的交互式技能评估.
- 生成型人工智能 (GenAI) 模拟器为具有成本效益,适应性和私人技能实践提供了潜在的解决方案.
- 验证人工智能作为评估复杂技能的可靠工具至关重要,特别是在诸如预防自杀等高风险领域.
研究的目的:
- 为了验证基于人工智能的评估对自杀预防技能培训的可靠性.
- 在QPR培训环境中,评估GenAI模拟器反与人类专家评级.
- 探索GenAI在危机干预中进行可扩展和公正的技能评估的潜力.
主要方法:
- 三位独立专家对54个模拟的QPR对话进行了评分.
- 人工智能生成的反分数与人类专家评级 (RQ1) 相比较.
- 二次分析检查了参与者特征 (RQ2) 和定性AI反准确性 (RQ3).
主要成果:
- 在GenAI得分和人类基准评级之间发现了中等到强的正相关性 (r = 0.519-0.776).
- 在人工智能或人类评级中没有观察到基于性别的显著差异,这表明无偏见评估的潜力.
- 定性分析证实了GenAI在识别QPR组件和提供细微反方面的准确性.
结论:
- 作为评估危机干预技能的反工具,GenAI证明了最初的可靠性.
- 该技术提供可扩展,一致和公正的评估,提高了基于证据的培训的可访问性.
- 需要进一步校准,以使人工智能判断与人类专业知识保持一致,并增强教学深度.
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