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Piero Mussio
University of Brescia
Membership Number: 36
Address: Dipartimento di Elettronica per l’Automazione, Università degli studi di Brescia, Via Branze 38 I-25123, Brescia, Italy
Email: mussio@bsing.ing.unibs.it
Phone: +39 030 3715 450
Fax: +39 030 380 014
URL: http://bsing.ing.unibs.it/~mussio

Biographical Sketch
From 1970 through 1983 he was full time researcher at the Laboratory of Cosmic Physics of the Natl. Research Council of Italy in Milan, where he was Data Reduction Officer Astrophysical in European collaborations and headed the Group of Data Analysis. Later he joined the Department of Physics at Milan University as Associate Professor in Computer Science and was responsible of the Image Processing and Interpretation Group. Then, he was at the Dept. of Information Science of the University 'La Sapienza', Roma, where he was a co-founder of the Pictorial Computing Laboratory, an interuniversity laboratory devoted to the studies of methods of image recognition, synthesis and interpretation in person-machine interaction, headed by Prof. Levialdi, University ‘La Sapienza’. He is/was scientific coordinator and principal investigator of research units in international and national projects and industrial contracts. He is IAPR Fellow, member of the ACM, member of the Pictorial Computing Laboratory. He is associate editor of the Journal of Visual Languages and Computing; he served as program chair for the 1999 IEEE Workshop on Visual Languages Tokio, 1999; General Co-chair of 2000 IEEE Workshop on VL, Seattle, 2000; and as committee member for PR, HCI and machine vision conferences, schools and workshops.

University of Brescia- Dipartimento di Elettronica per l’automazione (DEA)- Pictorial Interaction Group
The Dipartimento di Elettronica per l’Automazione of the University of Brescia has 49 members, including 32 people with teaching and research permanent positions and 17 technical and administrative positions. In the area cognitive perceptual systems, the research interest is focused on modeling multimodal interaction. The interaction of human actors with a population of artifacts is modeled describing the artifacts as virtual entities (ve) and the behavior of the system as emerging from the interactions among actors and entities. The state of each virtual entity is formalized as a characteristic pattern, linking the current state of the computation generating the virtual entity to the digital events perceivable by the user and by the entities. The sets of digital events generated by a ve constitute the observable messages generated by the ve. The dynamics of a ve during the interaction process is specified as a rewriting system, whose rules describe how the current state of a ve evolves in reaction to the activities performed by the interacting actors. Messages are interpreted by human actors and the ve through the recognition of characteristic structures, i.e. structures recognized as functional or perceptual units in the message and therefore associate to a meaning. Two interpretations of each message arise in the human actor-ve interaction: one performed by the human actor achieving a task, depending on his/her role in the task, as well as on his/her culture, experience, and skills, and the second internal to the ve, associating the message with a computational meaning, as determined by the programs implemented within the ve. Based on this model, a methodology for the specification and implementation of interactive visual system has been developed, which is being applied in several experiments in scientific and industrial environments.


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