On May 31, 2017, Mohsen Amiribesheli discussed his Ph.D. thesis in a Viva voce session at Bournemouth University (UK). The thesis title is "A Tailored Smart Home for Dementia Care" and has been supervised by prof. Hamid Bouchachia. The thesis reports an original research work about the design of a smart home specifically tailored for the needs of persons with dementia.

The work presents a novel methodology for requirements elicitation, that is shown to identify a comprehensive set of validated requirements, with a method that considers the impossibility of directly interviewing or involving the end user in the design steps. The initial design requirements are then refined into a system architecture and a set of functional and non-functional requirements, leading to the development and evaluation of a prototype. Finally, the author shows how to extend the behaviour of the prototype by a set of behaviour rules tailored to each patient.

The evaluation was conducted by prof. Keith Phalp (Internal External) and prof. Fulvio Corno (External Examiner).

The students of the Ambient Intelligence course, edition 2017, are approaching the turning point: 16 projects are completing their design phase, and will soon start the implementation of the project demonstrators.

Projects are exploring various areas of ambient intelligence systems, applied to the domain of Sustainability.

On May 25, 2017, the 16 student groups of the Ambient Intelligence course will present a 5-minutes "pitch" about their proposed project and will unveil to the public the project contents. As a spoiler, the project names are: AmiCook, Bathroom-Ecoexperience, Battery-Drive-In, Bee-Happy, Edumeal, Fuit-Saver, Grab-a-bike, Mr.Bin, Nice-Bins, PSDM, Shower-time, Smart-canteen, Smartshelf, TrashIt, WWW, YourChildrenGreenTutor.

The presentation is public, open to all interested students, and to interested enterprises and professionals. The attending industrial stakeholders and sponsors will provide a feedback about the presented projects.

Internet of things, smart homes, smart buildings, smart cities, big data… these increasingly popular words describe the future ahead of us.

Politecnico di Torino is organizing a Summer School on IoT applications and Data Management, aimed at students enrolled in B.S. degrees worldwide. The school will cover the full design cycle of data-intensive distributed IoT systems, with a practical teaching approach and hands-on experiences. In one week of classes (morning) and laboratories (afternoon), different topics ranging from wireless sensor networks to mobile applications, from data science to ambient intelligence, will be presented by Politecnico professors expert in the field. A prototype working system will be build by the students during the school.

Applications are open, you may enroll on-line.

In the past months, the former Ambient Intelligence students were contacted filling a thorough questionnaire trying to understand the major "pain points" they had during the development of their AmI system.38 students replied and devoted 30 minutes to analyzing the sources of difficulties, and of the time spent, in different parts of a AmI system prototype. The results of the survey will be used for developing new methodologies and tools able to ease the task for future novice IoT programmers.Some preliminary survey results will be presented at the forthcoming COMPSAC'2017 conference.

To thank the survey participants for their contribution, we randomly selected one lucky winner for a Solos Play:1 device (sponsored by Nital). Congratulations to the prize winner for his luck!

ACM SIGCHI Summer School on Computational Interaction

Alberto Monge Rofarello will participate to the 3rd ACM SIGCHI Summer School on Computational Interaction. The summer school will be held on Lake Lucerne in Switzerland, organized by ETH Zurich, from the 12th to the 17th of June 2017.

The goal of the summer school is to teach PhD students and researchers the foundations of computational tools in the context of user interface design and their application in interactive systems. In particular, the summer school will be organized around the common themes of optimization and machine learning. The first theme aims at solving interaction and user interface design problems by deriving interface configurations which satisfy constraints and maximize performance criteria. The latter theme, instead, introduces a principled and robust approach to designing a transformation from input to useful action.

The summer school will consist in a mix of theoretical lectures and pratical sessions, and it will close with a full-day hackaton.