THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare
<|reference_start|>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 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.<|reference_end|>
@article{fournier2024theradia,
    title={THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research
  in Healthcare},
    author={Hippolyte Fournier, Sina Alisamir, Safaa Azzakhnini, Hanna Chainay,
  Olivier Koenig, Isabella Zsoldos, El'eeonore Tr^an, G'erard Bailly,
  Fr'ed'eeric Elisei, B'eatrice Bouchot, Brice Varini, Patrick Constant,
  Joan Fruitet, Franck Tarpin-Bernard, Solange Rossato, Franc{c}ois Portet,
  Fabien Ringeval},
    journal={arXiv preprint arXiv:2405.06728},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.06728},
    primaryClass={cs.HC}
}