Our interdisciplinary approach enables us to create such scenarios. For example, based on a childhood photograph, participants may exchange with a digital replica of their child self, and offer verbal and tactile comfort. They can later take the child’s perspective and feel cared for by their adult counterpart. Multisensory encounters with other versions of oneself can be facilitated as is done through mental imagery in psychotherapy.
Meˆ2 is created by digital artists and scientists considering both perspectives as complementary. Aware of people’s vulnerability when facing themselves, we care for the poetics of such an encounter. We believe that only with artistic care, curiosity, and listening beyond data, this work might take a meaningful direction. Simultaneously, scientific rigor is fundamental when dealing with mental health, and essential given the ethical complexity entailed by generative AI.
Our work is inspired by that of artists, scientists, and psychotherapists and has been co-designed with practitioners accross disciplines. We are creating open tools and methodologies for practitioners across fields while addressing the ethical consequences of our developments.
Our work is inspired by that of artists, scientists, and psychotherapists and has been co-designed with practitioners accross disciplines. We are creating open tools and methodologies for practitioners across fields while addressing the ethical consequences of our developments.