ISMiR

Accurate prediction, detection, and interpretation of interoceptive cues is fundamental for human cognition and interaction. This interdisciplinary project aims at developing human-computer interfaces that digitally present interoceptive signals and testing their effects in collaborative settings across mixed reality environments – either to compensate for reduced bodily signals in computer mediated settings or to enhance hidden signals in natural settings.

We hypothesize that such augmentations will improve interoceptive inferences, enabling a more accurate identification of mental states, and foster synchronization and social interaction. To transfer this to a more applied context, we will adjust the developed interfaces to entrain interpersonal interoceptive synchronization and enhance interspecies empathic and pro-environmental sentiments.

The results will contribute to understanding the role of interoception in cooperation and inform the design of future interactive technologies.