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Massimo Cellario ha conseguito il Dottorato di Ricerca e un Master in Ingegneria dell'Informazione e Informatica presso l'Università di Pavia. Attualmente insegna Digital Media e Interaction Design presso l'Università IULM di Milano. Le sue collaborazioni includono l'Università degli Studi di Pavia, la Regione Lombardia, IUSS, Université de Tunis, l’Università delle Hawaii, la Fondazione Rotary, Mediaset, RAI, il Ministero Italiano della Cultura e l'Unione Europea, tra gli altri. La sua ricerca si concentra sulle interfacce multimodali per l'interazione uomo-macchina, computer vision 3D, media interattivi, ambienti intelligenti/visione computerizzata, e-learning e neurotecnologie applicate al design, marketing, cinema, giochi e BCI.

Massimo Cellario received his Phd and Master’s degree in Information Engineering and Computer Science from University of Pavia. He currently teaches Digital Media and Interaction Design at IULM University, in Milan. His collaborations include Università degli Studi di Pavia, Regione Lombardia, IUSS, Université de Tunis, University of Hawaii, Rotary Foundation, Mediaset, RAI, the Italian Ministry of Culture, and the European Union, among others. His research focuses on multimodal interfaces for human–computer interaction, 3D computer vision, interactive media, intelligent environments/computer vision, e-learning and neuro-technologies applied to design, marketing, cinema, gaming, and BCI.


COURSE: GAME TECH (2019-2020; 2018-2019; 2017-2018)

GAME TECH explores the interaction space between digital and physical worlds, extending the shared boundaries of hardware/software/user interfaces. Students will learn to integrate multisensory channels and interaction modalities, by connecting people, computers, objects, and environments. Theoretical insights, real-world case studies, and hands-on lab experiments will provide a wide technology playground for potential innovation and creativity, based on open hardware/software ecosystems (Arduino and Processing) for quick and user-friendly prototyping. At the end of the course, each student will conceive and design an interactive digital+physical project, with a particular focus on environmental and biological data processing for explicit/implicit user interaction and user experience evaluation (usability, emotional engagement, cognitive effort).