THERADIA WoZ: An Ecological Corpus for Appraisal-Based Affect Research in Healthcare

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 appraisal theory models, including novelty, intrinsic pleasantness, goal conduciveness, and coping. Additionally, the annotations included 23 affective labels from the literature of achievement affects. We present the data collection, transcription, and annotation protocols, alongside a detailed analysis of the annotated dimensions and labels. Baseline methods and results for their automatic prediction are also presented. Results reveal that the dimensions of appraisal theory can be predicted, with the performance varying across different modalities. The corpus aims to serve as a valuable resource for researchers in affective computing, and is made available to both industry and academia.