打破病耻感！在抑郁症诊断对话中不突兀地探查症状
Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue
AI总结：
针对抑郁症诊断中病耻感阻碍患者交流的问题，提出UPSD$^{4}$方法，通过策略营造对话不突兀感并探查症状，在诊断准确性和不突兀性上显著超越基线，提升了诊断工具的实用性。
摘要：
病耻感已成为有效诊断抑郁症的主要障碍之一，因为它阻碍了用户敞开心扉谈论自己的困扰。这要求具备高级的提问技巧，以不突兀的方式谨慎探查特定症状是否存在。尽管近期在面向抑郁症诊断的对话系统方面已有努力，但它们在很大程度上忽略了这一问题，最终损害了其实用性。为此，我们提出了一种新颖且有效的方法 UPSD$^{4}$，开发了一系列策略以在对话系统内营造不突兀感，并通过探查症状来评估抑郁症。我们通过实验表明，UPSD$^{4}$ 相较于当前基线模型展现出显著提升，包括在对话内容的不突兀性评估和诊断准确性方面。我们相信，这项工作有助于开发更易用、更友好的工具，以满足广泛的抑郁症诊断需求。
英文摘要：
Stigma has emerged as one of the major obstacles to effectively diagnosing depression, as it prevents users from open conversations about their struggles. This requires advanced questioning skills to carefully probe the presence of specific symptoms in an unobtrusive manner. While recent efforts have been made on depression-diagnosis-oriented dialogue systems, they largely ignore this problem, ultimately hampering their practical utility. To this end, we propose a novel and effective method, UPSD$^{4}$, developing a series of strategies to promote a sense of unobtrusiveness within the dialogue system and assessing depression disorder by probing symptoms. We experimentally show that UPSD$^{4}$ demonstrates a significant improvement over current baselines, including unobtrusiveness evaluation of dialogue content and diagnostic accuracy. We believe our work contributes to developing more accessible and user-friendly tools for addressing the widespread need for depression diagnosis.
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。
