In this paper, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and discuss an initial qualitative evaluation of the system by professional end users. The design of SOPHIE was motivated from a computational linguistic analysis of the transcripts of 383 patient-physician conversations from an essential office visit of late stage cancer patients with their oncologists. We developed methods for the automatic detection of two behavioral paradigms, lecturing and positive language usage patterns (sentiment trajectory of conversation), that are shown to be significantly associated with patient prognosis understanding. These automated metrics associated with effective communication were incorporated into SOPHIE, and a pilot user study identified that SOPHIE was favorably reviewed by a user group of practicing physicians.

中文翻译：

---

新的计算语言测量、对话系统和 SOPHIE 的开发：用于医疗互动教育的标准化在线患者

在本文中，我们描述了 SOPHIE 的迭代参与设计，SOPHIE 是一个在线虚拟患者，用于基于反馈的敏感医患对话实践，并讨论专业最终用户对该系统的初步定性评估。SOPHIE 的设计灵感来自于对晚期癌症患者与肿瘤科医生进行基本办公室访问的 383 次患者与医生对话的记录的计算语言分析。我们开发了自动检测两种行为范式的方法，即演讲和积极的语言使用模式（对话的情感轨迹），这两种行为范式与患者预后理解显着相关。这些与有效沟通相关的自动化指标被纳入 SOPHIE，