'Ops, I wasn't supposed to share that picture!' Towards semi-automated centralized privacy settings: what to share, with whom, and in which situation

The Faculty of Informatics is pleased to announce a seminar given by Mattia Gustarini

DATE: Thursday, November 14th 2013
PLACE: USI Lugano Campus, room A33, Red Building (Via G. Buffi 13)
TIME: 14.30

ABSTRACT:
Ubiquitous data collection from our smartphones is becoming a mainstream. We share data (e.g., photos, location) with our social networks, or with owners of data collection campaigns serving research in, for example, human-computer interaction, smart cities and so on. Other data is collected automatically by applications running on our smartphones to offer us more tailored services, in particular for marketing purposes.
It is difficult for the smartphone users to control who collects their personal data, when they collect it, and for what purpose. It is necessary to define a theoretical user model and prototyped framework to design semi-automated privacy settings mechanisms to help users to better manage how their private data is collected and with whom it is shared depending on their contextual situation. We intend to investigate how to recognize which are the situations in which the users feels more intimate, thus not willing to share information to everyone, but only to people part of that situation, or only to observers suitable for the situation, or even to no share at all. This knowledge will be then applied to design systems able to analyze and control users' privacy settings to help them to have their data in control.

BIO:
Mattia Gustarini completed a Master of Science in Informatics (Major in Dependable Distributed Systems) at USI Università della Svizzera italiana(Switzerland) in June 2010. Mattia is now working in the "Quality of Life" area as a PhD student at the Institute of Service Science (University of Geneva, Switzerland). He is currently focusing his research in the domain of people centric sensing ecosystem. His main goal is to provide the ability to people to sense the environment and explore their behaviors using smartphones. In particular he would like to enable large scale eHealth systems where patients and caregivers are collaborating to solve health related issues. Performing large scale studies using smartphones as a sensor devices offers many challenges: data collection, data storage, data analysis, performance matters, privacy problems and so on. His future research will focus on the automation of privacy management in such large scale sensing ecosystems

HOST: Prof. Marc Langheinrich