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：本文介绍了THERADIA WoZ，一个专为医疗保健领域情感视听研究设计的生态语料库。两组老年参与者，包括52名健康个体和9名患有轻度认知障碍（MCI）的个体，在执行计算机化认知训练（CCT）练习时，接受了一个由人类扮演“绿野仙踪”（Wizard-of-Oz, WoZ）角色远程操控的虚拟助手的支持。参与者的视听表达被完整转录，并部分基于近期评价理论模型所衍生的维度进行了标注，这些维度包括新颖性、内在愉悦度、目标促进性和应对能力。此外，标注还包含了从成就情感文献中提取的23种情感标签。我们介绍了数据收集、转录和标注所使用的协议，并对标注的维度和标签进行了详细分析。同时，也展示了用于自动预测这些维度和标签的基线方法及其结果。该语料库旨在为情感计算领域的研究者提供一个有价值的资源，并向工业界和学术界开放。