DOLLACK, Felix; AIT BAALI, Hoda; BALDA, Marisabel Cuberos; GOMANNE, Luc; PAEZ-GRANADOS, Diego; PERUSQUIA-HERNANDEZ, Monica; SALAZAR LUCES, Jose Victorio; GOMEZ, David

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DOLLACK, Felix

AIT BAALI, Hoda
ESTIA INSTITUTE OF TECHNOLOGY

BALDA, Marisabel Cuberos

Langue

Communication dans un congrès

Ce document a été publié dans

Ninth Mexican International Conference on Human-Computer Interaction (MexIHC 2022), MexIHC 2022, 2022-11-16, Onlince Conference. 2022-11

Résumé en anglais

Wearable sensing technologies allow us to monitor and track a wealth of information about bodily states. Tracking applications rely on abstract numerical or graphical visualizations to make this information accessible to us. However, these visualizations can be hard to interpret, and even be harmful to already vulnerable groups. Hence, we propose to give feedback in the form of an enhanced heart rate interoception and an embodied artificial agent. This method relies on the person’s inherent understanding of their own body. It is a subtle and more natural way to gauge the meaning of off-the-shelf sensors’ feedback. A wearable pet prototype that presents emotion through visuo-haptic feedback is evaluated in a match and a mismatch group. Participants in both groups answered self-report and perceived affect of the interoceptive feedback without significant differences. However, the groups’ perceived closeness to the pet differed significantly.< Réduire

Mots clés en anglais

Interoception

Haptic feedback

Well-being

Self-quantification

Emotional stimulus

URI

https://oskar-bordeaux.fr/handle/20.500.12278/172721

Unités de recherche

ESTIA - Recherche