The interpretation of the museums heritage as an active social element is the basis of the most cur-rent cultural institutions projects that envisage forms of documentation, use and dissemination of the cultural heritage increasingly dialogic (the museum community) and dynamics (mixing conversational, experiential, and participative modes).This scenario is the broad framework of the project conceived to design the EMODEM app based on the convergence of face detection, eye tracking and AR to interface the virtual and the physical space and make the museum experience more visitor-centered, interactive and personalized.This article integrates the EMODEM research already underway and updates the scientific roadmap according to the progress recently achieved in phases 3 and 4 of the project, presenting the technolog-ical innovation that has intervened in the meantime in the project and the advancement of research, currently reached at third field usability testing.
The Emotion Detection Tools in the Museum Education EmoDeM Project
Facial recognition technologies, already used nowadays in many applications, i.e. to support security systems in sensitive buildings, could in a short time achieve widespread use also in others sectors including culture institutions like museums or art galleries. The state of the art in the field of facial recognition allows discriminating factors not only related to the essential somatic characteristics of a person to recognize, with an ever–greater degree of precision, the emotional reactions that may occur on person’s face.The article intends to describe the research’s EmoDeM experimentation in the museum environment in order to provide a tool capable of interpreting the reaction of a user in front of an artwork and propose a responsive information content coherent what is manifested through facial expressions.