Keynote Lectures
Observing the Users to Estimate the Perceived Quality: Challenges and Technologies
Luigi Atzori, Universita degli Studi di Cagliari, Italy
Observing the Users to Estimate the Perceived Quality: Challenges and Technologies
Luigi Atzori
Universita degli Studi di Cagliari
Italy
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Brief Bio
Luigi Atzori (PhD, 2000) is professor of Telecommunications at the University of Cagliari, where he leads the activities of the Net4U laboratory (Network for Humans) with around 20 affiliated researchers. Since 2018, he has been the coordinator of the master degree course in Internet Technology Engineering at the University of Cagliari. His research interests fall in the area of Internet of Things (IoT), with particular reference to the design of effective algorithms for the realization of social networks among connected devices to develop the Social IoT paradigm. His works on the IoT and the social IoT have received a great impact with more than 20K citations. His interests also fall in the area of Quality of Experience (QoE), with particular application to the management of services and resources in new generation networks for multimedia communications. Lately, he also applies the study of QoE to IoT services. He serves regularly as referee for several international and national funding programs, in the organizing committee of international conferences, and as associate and guest editor in several international journals (Ad Hoc Networks, IEEE Open Journal of the Communications Society, IEEE Communications Magazine, etc.). He is co-founder of two spinoffs in the areas of IoT solutions for people mobility.
Abstract
The increasing adoption of pervasive digital infrastructure is aimed at improving the human quality of life when conducting most of everyday activities, from having online meetings to using transport mobility services. The achievement of this objective calls for the adoption of a human-centric approach when deploying and managing relevant services. One of the approaches that contributes to this objective is to estimate and manage the quality of experience (QoE) of the users when consuming these services, which requires a deep knowledge of the factors that impact on the formation of the quality perception. In this respect, this talk will focus on the estimation of the users’ perceived QoE when using multimedia and IoT applications by observing their gesture, facial expression and speech. It will describe the technologies to monitor the users and how a proper selection of features from the collected data and the adoption of fusion techniques allow for the estimation of the perceived quality without asking for an explicit feedback from the user while avoiding biasing effects. Future scenarios and challenges will also be described, included the interaction in the immersive digital wo