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Mauro Cherubini

EPFLCDHCDH-SHSSHS-ENS

I am a Full Professor of Information Systems at the University of Lausanne (UNIL), in Switzerland. Prior to joining UNIL in 2016, I spent eight years in the industry. My last industry work was with  Google in Zurich, Switzerland. Previously, I worked at  Telefonica Research with  Nuria Oliver and  Rodrigo de Oliveira, in Barcelona, Spain. I received my PhD in Computer Science from the Swiss Federal Institute of Technology in Lausanne ( EPFL), Switzerland in June 2008, where I worked for the CRAFT laboratory (now  CHILI lab), under the supervision of  Pierre Dillenbourg. At EPFL, I conducted research on collaborative annotations of maps and remote gesturing.

Previously, I worked for two and a half years as a research assistant at the  Media Lab Europe (MLE), in Ireland, under the supervision of  Carol Strohecker. During this time, I had several study visits at the  MIT Media Lab in Boston. I obtained a Master of Arts by Research from  St. Patrick’s College,  Dublin City University, in 2004. My master thesis documented the work I conducted at MLE on Microworlds for Ecology Explorations.

My primary research interests are at the intersection of human-computer interaction ( HCI), computer-supported cooperative work ( CSCW) and human learning. I seek to design systems that enable people to be better connected and in more flexible and dynamic ways. I am particularly interested in how to empower people through new technology and in giving them the opportunity to better participate in collective initiatives.  My research team at HEC focuses on behaviour-change technology: applications and technological interventions that can propel positive changes in people’s behaviour.

Liens

Selected publications

A collaborative ontology for ‘spatialised communication’

M. Cherubini
Published in [Cherubini2004a] Cherubini, M. (2004a). A collaborative ontology for ‘spatialised communication’. In Position papers for the workshop “Potential of Cognitive Semantics for Ontologies”, part of FOIS2004, Torino, Italy. in

A digital seed: designing a toy plant to facilitate cognitive growth

H. Gash & M. Cherubini
Published in [Gash and Cherubini2002] Gash, H. and Cherubini, M. (2002). A digital seed: designing a toy plant to facilitate cognitive growth. The Irish Psychologist, 29(4):49. in

DigitalSeed

M. Cherubini, J., Rasmussen, H., Gash, and T., McCloughlin
Published in [Cherubini et al.2002] Cherubini, M., Rasmussen, J., Gash, H., and McCloughlin, T. (2002). DigitalSeed. Eindhoven University of Technology, Eindhoven, The Netherlands. in

Biosphera: A prototype design for learning about multivariate systems

N. Winters and M. Cherubini
Published in [Winters et al.2003] Winters, N., Cherubini, M., and Strohecker, C. (2003). Biosphera: A prototype design for learning about multivariate systems. In CHI2003 Learning Workshop proccedings, Fort Lauredale, Florida, USA. Association for Computing Machinery. in

Microworlds for ecology explorations: From digitalseed to biosphera in fostering children’s understanding of plant biology

M. Cherubini
Published in [Cherubini2004] Cherubini, M. (2004). Microworlds for ecology explorations: From digitalseed to biosphera in fostering children’s understanding of plant biology. Master’s thesis, St. Patrick’s College, Dublin City University, Ireland. in

To live or to master the city: the citizen dilemma: Some reflections on urban spaces fruition and on the possibility of change one’s attitude

M. Cherubini and N. Nova
Published in [Cherubini and Nova2004] Cherubini, M. and Nova, N. (2004). To live or to master the city: the citizen dilemma: Some reflections on urban spaces fruition and on the possibility of change one’s attitude. Imago Urbis, Universitas de Quilmes, Buenos Aires, A in

Research

Current Research Fields

Keywords: cooperative learning; job seekers; multiparty privacy conflicts; persuasive computing; Self-Determination Theory; usable privacy and security.

Courses

Data-driven interface design

HUM-297

This course explores how data from digital interactions can be analyzed to improve design, usability, and engagement. Students will learn quantitative methods to collect, organize, and interpret data, generating insights to enhance digital services and user experiences.