Modélisation d'une interaction système-résident contextuelle, personnalisée et adaptative pour l'assistance cognitive à la réalisation des activités de la vie quotidienne dans les maisons connectées

Alors que le nombre de personnes vivant avec des déficits cognitifs qui découlent d’un traumatisme craniocérébral (TCC) va en croissant, les technologies d’assistance sont de plus en plus développées pour résoudre les problèmes qu’ils induisent dans la réalisation des activités de la vie quotidienne. L’Internet des objets et l’intelligence ambiante offrent un cadre pour fournir des services d’assistance sensibles au contexte, adaptatifs, autonomes et personnalisés pour ces personnes ayant des besoins particuliers. Une revue de la littérature sur le sujet permet de constater que les systèmes existants offrent très souvent une assistance excessive, quand l’aide contient plus d’information que nécessaire ou quand elle est fournie automatiquement à chaque étape de l’activité. Cette assistance, inadaptée aux besoins et aux capacités de la personne, est contraire à certains principes de la réadaptation cognitive qui prônent la fourniture d’une assistance minimale pour encourager la personne à agir au meilleur de ses capacités. Cette thèse propose des modèles pour automatiser l’assistance cognitive sous forme de dialogue contextuel entre une personne ayant des déficits cognitifs dus au TCC et un système lui fournissant l’assistance appropriée qui l’encourage à réaliser ses activités par lui-même. Les principales contributions sont : (1) un modèle ontologique comme support de l’assistance cognitive dans les maisons connectées ; (2) un modèle d’interaction entre l’agent intelligent d’une maison connectée et une personne ayant subi un TCC, dans le cadre de l’assistance cognitive. Le modèle ontologique proposé s’appuie sur les actes de langages et les données probantes de la réadaptation cognitive afin que l’assistance reflète la pratique clinique. Il vise à fournir aux maisons intelligentes la sémantique des données nécessaires pour caractériser les situations où il y a besoin d’assistance, les messages d’assistance de gradations différentes et les réactions de la personne. Informé par le modèle ontologique, le modèle d’interaction basé sur des arbres de comportement (« behaviour trees ») permet alors à un agent intelligent de planifier dynamiquement la diffusion de messages d’assistance progressifs avec des ajustements si nécessaire, en fonction du profil et du comportement du résident de la maison connectée lors de l’accomplissement de ses activités. Une validation préliminaire montre l’applicabilité des modèles dans l’implémentation de scénarios relatifs à l’utilisation sécuritaire d’une cuisinière connectée dédiée aux personnes ayant subi un TCC

Equality in the City

This collection critiques the rhetoric of ‘smart cities’. It seeks to engender a timely debate about what future cities might look like and what their concerns should be. Using a multi-disciplinary perspective, it features acclaimed scholars whose work investigates the proposed networked digital technologies that ostensibly affect planning policies, control infrastructures and deliver and manage city services and systems. The contributors offer insights into how future cities might be envisaged, planned and executed in order to be more ‘equal’.   

Equality in the City

This collection critiques the rhetoric of ‘smart cities’. It seeks to engender a timely debate about what future cities might look like and what their concerns should be. Using a multi-disciplinary perspective, it features acclaimed scholars whose work investigates the proposed networked digital technologies that ostensibly affect planning policies, control infrastructures and deliver and manage city services and systems. The contributors offer insights into how future cities might be envisaged, planned and executed in order to be more ‘equal’

Equality in the City

This collection critiques the rhetoric of ‘smart cities’. It seeks to engender a timely debate about what future cities might look like and what their concerns should be. Using a multi-disciplinary perspective, it features acclaimed scholars whose work investigates the proposed networked digital technologies that ostensibly affect planning policies, control infrastructures and deliver and manage city services and systems. The contributors offer insights into how future cities might be envisaged, planned and executed in order to be more ‘equal’

Time-Based Design Paradigms

Associate Professor in Interior and Spatial Design at Politecnico di Milano. She has been visiting professor at Tsinghua University, Beijing (China); Kookmin University, Seoul (South Korea); Hosei University, Tokyo (Japan) and many others. She designed professional projects in China, Japan, USA, Europe, UK and UAE, as founder of Senselab, most of them awarded and selected by international juries. Some of her researches and products have been selected by ADI-Index 2019, Italian Design Ambassador 2020, 2021; awarded Eccellenze della Lombardia. She exhibited her works at Biennale di Venezia 2010, 2011, 2021; Triennale di Milano 2018. The relationships between senses, time, spaces and design are developed in education, conferences, publications and professional works. She is the author of Storie di Architettura attraverso i sensi (Stories of architecture through the senses, Bruno Mondadori, 2000), Invisible Architectures. Experiencing places throught the senses of smell (Skira, 2006), Sensi, tempo e architettura (Senses, time and architecture, Postmedia Books, 2012), Sensefulness, new paradigms for Spatial Design (Postmedia Books, 2019), and the book Extended Store. How digitalization effects the retail space design, written in collaboration with the author Yuemei Ma (FrancoAngeli, 2021), as well as many other international publications

Participative Urban Health and Healthy Aging in the Age of AI

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems

Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

In current Smart Home implementations pressure sensors within the environment are normally deployed in a uniform pattern. Nevertheless, in order to create an optimised pressure sensor deployment paradigm it is necessary to correlate the positions of sensors with the high frequency movement behaviours of the inhabitant. The locations of furniture and other objects in the environment should also be taken into consideration. To create a paradigm for optimised sensor deployment, data pertaining to inhabitant movement behaviour first needs to be collected. This paper outlines the evaluation of two movement behaviour capture methods and assesses them for practical issues such as ease of installation and feasibility of use

Data and the city – accessibility and openness. a cybersalon paper on open data

This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data