  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.
