Smart Environments. Incorporating Users via Behaviors' Analysis and Advanced Interfaces

Data dell'evento: 
Monday, 20 May, 2019 - 15:30
Aula A2, via Ariosto 25, Roma
Francesco Leotta

Francesco Leotta, vincitore di procedura valutativa di chiamata per un posto RTDA per il SSD ING-INF/05, terrà presso questo dipartimento un seminario su attività di ricerca svolte e in corso di svolgimento.

Il seminario avrà luogo lunedì 20 Maggio 2019 alle 15:30 in Aula A2, DIAG, via Ariosto 25.

Abstract: Ubiquitous computing embodies a vision of computers seamlessly integrating into everyday life, responding to information provided by sensors in the environment, with little or no direct instruction from users. Smart spaces, e.g., homes, offices, factories, public spaces (e.g., museums), represent a challenging application area, which is gaining increasing interest in the research and industrial communities. A smart space is an environment centred on its human users in which a set of embedded networked artefacts, both hardware and software, collectively realize the paradigm of ambient intelligence (AmI). AmI systems sense the environment through low-level sensors, and make decisions based on (i) pre-acquired models of human habits, preferences and environment dynamics, and (ii) real-time human users’ instructions. In this sense, AmI stands at the crossroad between Human-Computer Interaction and Artificial Intelligence. During this seminar, I discuss how techniques borrowed from process modelling and mining can be challenged and extended to automatically extract human-readable and verifiable human habit models, by filling the gap between the original applications of business and manufacturing processes, and smart spaces. Additionally, I show how advanced user interfaces simplifies the way different categories of users, with different needs, interact with smart spaces.

Short Bio: Francesco Leotta got his PhD in Engineering in Computer Science at DIAG - Sapienza in 2014, where he has recently finished his appointment as a Research Fellow. Since the beginning of his research activity, he addressed several challenges related to how users interact with a smart space and how the environment senses the users and reactively perform actions to meet user requirements. In this research context, he developed an approach, called habit mining, where techniques typical of Business Process Management (BPM) and Process Mining can be adapted to user habit modelling and discovery. Beside this main research activity, his research interests cover advanced users interfaces, service-oriented architectures (SOA), matchmaking applied to entrepreneurship, and e-Government. He regularly serves as a reviewer for international conferences and journals in the fields of smart spaces and information systems engineering.



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