  Synesthesia, conceived as a neuropsychological condition, may prove valuable
in studying the interaction between humans and machines by analyzing the
co-occurrence of sensory or cognitive responses triggered by a stimulus. In our
approach, synesthesia is elevated beyond a mere perceptual-cognitive anomaly,
offering insights into the reciprocal interaction between humans and the
digital system, steering novel experimental design and enriching results
interpretations.This review broadens the traditional scope, conventionally
rooted in neuroscience and psychology, by considering how computer science can
approach this condition. The interdisciplinary examination revolves around two
primary viewpoints: one associating this condition with specific cognitive,
perceptual, and behavioral anomalies, and the other acknowledging it as a
prevalent human experience. Synesthesia, in this review, emerges as a
significant model for Human Computer Interaction (HCI). The exploration of this
specific condition aims to decipher how atypical pathways of perception and
cognition can be encoded, empowering machines to actively engage in processing
information from both the body and the environment. The authors attempt to
amalgamate findings and insights from various disciplines, fostering
collaboration between computer science, neuroscience, psychology, and
philosophy.The overarching objective is to construct a comprehensive framework
that elucidates how synesthesia and anomalies in information processing can be
harnessed within HCI, with a particular emphasis on contributing to digital
technologies for medical research and enhancing patients care and comfort. In
this sense, the review endeavors also to fill the gap between theoretical
understanding and practical application.
