We present THERADIA WoZ, an ecological corpus designed for audiovisual research on affect in healthcare. Two groups of senior individuals, consisting of 52 healthy participants and 9 individuals with Mild Cognitive Impairment (MCI), performed Computerised Cognitive Training (CCT) exercises while receiving support from a virtual assistant, tele-operated by a human in the role of a Wizard-of-Oz (WoZ). The audiovisual expressions produced by the participants were fully transcribed, and partially annotated based on dimensions derived from recent models of the appraisal theories, including novelty, intrinsic pleasantness, goal conduciveness, and coping. Additionally, the annotations included 23 affective labels drew from the literature of achievement affects. We present the protocols used for the data collection, transcription, and annotation, along with a detailed analysis of the annotated dimensions and labels. Baseline methods and results for their automatic prediction are also presented. The corpus aims to serve as a valuable resource for researchers in affective computing, and is made available to both industry and academia.

翻译：我们提出THERADIA WoZ，这是一个专为医疗领域情感视听研究设计的生态语料库。两组老年受试者（包括52名健康参与者和9名轻度认知障碍患者）在执行计算机化认知训练任务时，接受了由人类以"绿野仙踪"方式远程操控的虚拟助手的辅助支持。参与者的视听表达被完整转录，并基于评价理论最新模型推导的维度（包括新奇性、内在愉悦性、目标促进性和应对能力）进行部分标注。此外，标注内容还包含源自成就情感文献的23个情感标签。我们详细介绍了数据收集、转录和标注所使用的协议，并对标注维度及标签进行了深入分析。同时呈现了自动预测的基线方法和结果。本语料库旨在为情感计算研究人员提供宝贵资源，并向工业界和学术界开放使用。