PsyGUARD：心理咨询中自杀检测与风险评估的自动化系统
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling
AI总结：
本文提出PsyGUARD自动化系统，通过构建细粒度自杀意念分类体系、大规模数据集PsySUICIDE及风险评估框架，实现在线心理咨询中的自杀检测与风险分级，以改善危机干预和心理健康服务。
摘要：
随着心理健康问题意识的提高，在线咨询支持服务在全球范围内日益普及。在基于文本的咨询服务中检测用户是否表达出自杀意念，对于识别和优先处理高风险个体至关重要。然而，缺乏领域专用系统来促进在线咨询中的细粒度自杀检测及相应风险评估，给旨在预防自杀的自动化危机干预带来了重大挑战。在本文中，我们提出了PsyGUARD，一个用于在心理咨询中检测自杀意念并评估风险的自动化系统。为实现这一目标，我们首先基于基础理论制定了一个用于检测自杀意念的详细分类体系。然后，我们构建了一个大规模、高质量的数据集PsySUICIDE，用于自杀检测。为了评估自动化系统在细粒度自杀检测中的能力，我们建立了一系列基线。随后，为了帮助自动化服务提供安全、有益且有针对性的响应以进行进一步评估，我们提出构建一套风险评估框架。我们的研究不仅对基于细粒度自杀检测的自动化风险评估系统的有效性提供了深入分析，还突显了其在在线咨询平台上改善心理健康服务的潜力。代码、数据和模型可在https://github.com/qiuhuachuan/PsyGUARD获取。
英文摘要：
As awareness of mental health issues grows, online counseling support services are becoming increasingly prevalent worldwide. Detecting whether users express suicidal ideation in text-based counseling services is crucial for identifying and prioritizing at-risk individuals. However, the lack of domain-specific systems to facilitate fine-grained suicide detection and corresponding risk assessment in online counseling poses a significant challenge for automated crisis intervention aimed at suicide prevention. In this paper, we propose PsyGUARD, an automated system for detecting suicide ideation and assessing risk in psychological counseling. To achieve this, we first develop a detailed taxonomy for detecting suicide ideation based on foundational theories. We then curate a large-scale, high-quality dataset called PsySUICIDE for suicide detection. To evaluate the capabilities of automated systems in fine-grained suicide detection, we establish a range of baselines. Subsequently, to assist automated services in providing safe, helpful, and tailored responses for further assessment, we propose to build a suite of risk assessment frameworks. Our study not only provides an insightful analysis of the effectiveness of automated risk assessment systems based on fine-grained suicide detection but also highlights their potential to improve mental health services on online counseling platforms. Code, data, and models are available at https://github.com/qiuhuachuan/PsyGUARD.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
