The acronym (from the English word “Haecceity” and the Italian word “Ecceità”) is a reference to the theme of the human individuality (something that escapes the universal to become unique), of cognitive needs and the necessity to implement a design of applications and their interfaces in line with this uniqueness, which is therefore also “value sensitive”.

The idea is to try to bridge two often opposing “river banks”, that of humanity and that of artificial, and to merge them at their boundaries, those of interfaces and interaction (therefore also of language, communication, culture and representation).

This research area combines Human-Computer Interaction with Cognitive Sciences, Computational Neuroscience and Machine Learning. The goal is to study the design of systems, technologies and interfaces based on cognitive models of human attention-perception-action / decision (for example visual interfaces, human-brain interfaces or new human-AI interaction models) that improve the human knowledge, information and learning, in increasingly complex scenarios of “competition for attention”, which are difficult and critical to manage.

A way to let converge, rather than diverge, these important factors in socio-technical systems.