Eyewear Computing \u2013 Augmenting the Human with Head-Mounted Wearable Assistants

The seminar was composed of workshops and tutorials on head-mounted eye tracking, egocentric vision, optics, and head-mounted displays. The seminar welcomed 30 academic and industry researchers from Europe, the US, and Asia with a diverse background, including wearable and ubiquitous computing, computer vision, developmental psychology, optics, and human-computer interaction. In contrast to several previous Dagstuhl seminars, we used an ignite talk format to reduce the time of talks to one half-day and to leave the rest of the week for hands-on sessions, group work, general discussions, and socialising. The key results of this seminar are 1) the identification of key research challenges and summaries of breakout groups on multimodal eyewear computing, egocentric vision, security and privacy issues, skill augmentation and task guidance, eyewear computing for gaming, as well as prototyping of VR applications, 2) a list of datasets and research tools for eyewear computing, 3) three small-scale datasets recorded during the seminar, 4) an article in ACM Interactions entitled \u201cEyewear Computers for Human-Computer Interaction\u201d, as well as 5) two follow-up workshops on \u201cEgocentric Perception, Interaction, and Computing\u201d at the European Conference on Computer Vision (ECCV) as well as \u201cEyewear Computing\u201d at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

Futures in the making: Practices to anticipate 'ubiquitous computing'

Kinsley, S. 2012, The definitive, peer-reviewed and edited version of this article is published in Environment and Planning A, 2012, Vol. 44, Issue 7, pp. 1554 – 1569 doi:10.1068/a45168. This a post-print, author-produced version of an article accepted for publication in Environment and Planning A. Copyright © 2012 PionThis paper addresses the discourse for a proactive thinking of futurity, intimately concerned with technology, which comes to an influential fruition in the discussion and representation of ‘ubiquitous computing’. The imagination, proposal, or playing out of ubiquitous computing environments are bound up with particular ways of constructing futurity. This paper charts the techniques used in ubiquitous computing development to negotiate that futurity. In so doing, it engages with recent geographical debates around anticipation and futurity. The discussion accordingly proceeds in four parts. First, the spatial imagination engendered by the development of ubiquitous computing is explored. Second, particular techniques in ubiquitous computing research and development for anticipating future technology use, and their limits, are discussed through empirical findings. Third, anticipatory knowledge is explored as the basis for stable means of future orientation, which both generates and derives from the techniques for anticipating futures. Fourth, the importance of studying future orientation is situated in relation to the somewhat contradictory nature of anticipatory knowledges of ubicomp and related forms of spatial imagination

Futures in the making: Practices to anticipate 'ubiquitous computing'

This paper addresses the discourse for a proactive thinking of futurity, intimately concerned with technology, which comes to an influential fruition in the discussion and representation of 'ubiquitous computing'. The imagination, proposal, or playing out of ubiquitous computing environments are bound up with particular ways of constructing futurity. This paper charts the techniques used in ubiquitous computing development to negotiate that futurity. In so doing, it engages with recent geographical debates around anticipation and futurity. The discussion accordingly proceeds in four parts. First, the spatial imagination engendered by the development of ubiquitous computing is explored. Second, particular techniques in ubiquitous computing research and development for anticipating future technology use, and their limits, are discussed through empirical findings. Third, anticipatory knowledge is explored as the basis for stable means of future orientation, which both generates and derives from the techniques for anticipating futures. Fourth, the importance of studying future orientation is situated in relation to the somewhat contradictory nature of anticipatory knowledges of ubicomp and related forms of spatial imagination. © 2012 Pion and its Licensors

A survey on cost-effective context-aware distribution of social data streams over energy-efficient data centres

Social media have emerged in the last decade as a viable and ubiquitous means of communication. The ease of user content generation within these platforms, e.g. check-in information, multimedia data, etc., along with the proliferation of Global Positioning System (GPS)-enabled, always-connected capture devices lead to data streams of unprecedented amount and a radical change in information sharing. Social data streams raise a variety of practical challenges, including derivation of real-time meaningful insights from effectively gathered social information, as well as a paradigm shift for content distribution with the leverage of contextual data associated with user preferences, geographical characteristics and devices in general. In this article we present a comprehensive survey that outlines the state-of-the-art situation and organizes challenges concerning social media streams and the infrastructure of the data centres supporting the efficient access to data streams in terms of content distribution, data diffusion, data replication, energy efficiency and network infrastructure. We systematize the existing literature and proceed to identify and analyse the main research points and industrial efforts in the area as far as modelling, simulation and performance evaluation are concerned

Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECO/FEDER) under the granted Project SEQUOIA-UA (Management requirements and methodology for Big Data analytics) TIN2015-63502-C3-3-R, by the University of Alicante, within the program of support for research, under project GRE14-10, and by the Conselleria de Educación, Investigación, Cultura y Deporte, Comunidad Valenciana, Spain, within the program of support for research, under project GV/2016/087. This work has also been partially funded by projects from the Spanish Ministry of Education and Competitivity TIN2015-65100-R and DIIM2.0 (PROMETEOII/2014/001)

Ubiquitous Computing

The aim of this book is to give a treatment of the actively developed domain of Ubiquitous computing. Originally proposed by Mark D. Weiser, the concept of Ubiquitous computing enables a real-time global sensing, context-aware informational retrieval, multi-modal interaction with the user and enhanced visualization capabilities. In effect, Ubiquitous computing environments give extremely new and futuristic abilities to look at and interact with our habitat at any time and from anywhere. In that domain, researchers are confronted with many foundational, technological and engineering issues which were not known before. Detailed cross-disciplinary coverage of these issues is really needed today for further progress and widening of application range. This book collects twelve original works of researchers from eleven countries, which are clustered into four sections: Foundations, Security and Privacy, Integration and Middleware, Practical Applications

Spacebook: Networked Public Places in the Personalized Metropolis

Today’s society is more connected than ever; we have constant access to information, to communication, and to various forms of social media. Ubiquitous mobile computing has significantly changed the public realm in a way that cannot be ignored. Socializing no longer relies on face-to-face interaction, and instead, vast quantities of people’s social lives unfold online via virtual platforms such as Facebook, WeChat, or Instagram. These virtual spaces have joined parks, plazas, and streets as spaces of public communication and interaction. However, these spaces create new questions of privatization and segregation, and may erode the public sphere as much as they extend it. Online discourse can be controlled and customized, allowing citizens to voluntarily segregate themselves with people to whom they are similar. This thesis suggests that physical public space needs to function as spaces that bring people of difference together: a role that is crucial to the health of our multicultural metropolises. Spacebook: Networked Public Places in the Personalized Metropolis embraces information technologies as public resources, and suggests a set of urban public space interventions that use interactive and sentient technologies to locate the network in physical spaces. As an attempt to counteract the segregation and privatization of the public sphere, these new spaces encourage greater user participation and agency in public space. In this research, two components of the public sphere were examined: virtual networks and physical public spaces. Physical public spaces were discovered as having been privatized through a number of policies of ownership and regulation. Virtual social networks were examined at two scales. The first explores these networks at the scale of the individual; in an attempt to understand the spatial implications of social networks, the second part explores the networks at the scale of the metropolis. This research proposes that we have produced a new condition, where the city is augmented and expanded by the individual’s networks, forming a personalized metropolis. Spacebook proposes a set of public spaces, called Networked Public Places (NPPs), which localize the global networks, and turn them into an interactive collective experience. NPPs are a set of interfaces operating at the border between online and physical public spaces. NPPs do not completely transform the public realm, but instead offer provocations for a way that architecture and information technologies can come together to benefit the public sphere. By embracing information as a public resource and asking what should (and can) be shared, Spacebook suggests a beginning of a more participatory and open public realm

Engineering Self-Adaptive Collective Processes for Cyber-Physical Ecosystems

The pervasiveness of computing and networking is creating significant opportunities for building valuable socio-technical systems. However, the scale, density, heterogeneity, interdependence, and QoS constraints of many target systems pose severe operational and engineering challenges. Beyond individual smart devices, cyber-physical collectives can provide services or solve complex problems by leveraging a “system effect” while coordinating and adapting to context or environment change. Understanding and building systems exhibiting collective intelligence and autonomic capabilities represent a prominent research goal, partly covered, e.g., by the field of collective adaptive systems. Therefore, drawing inspiration from and building on the long-time research activity on coordination, multi-agent systems, autonomic/self-* systems, spatial computing, and especially on the recent aggregate computing paradigm, this thesis investigates concepts, methods, and tools for the engineering of possibly large-scale, heterogeneous ensembles of situated components that should be able to operate, adapt and self-organise in a decentralised fashion. The primary contribution of this thesis consists of four main parts. First, we define and implement an aggregate programming language (ScaFi), internal to the mainstream Scala programming language, for describing collective adaptive behaviour, based on field calculi. Second, we conceive of a “dynamic collective computation” abstraction, also called aggregate process, formalised by an extension to the field calculus, and implemented in ScaFi. Third, we characterise and provide a proof-of-concept implementation of a middleware for aggregate computing that enables the development of aggregate systems according to multiple architectural styles. Fourth, we apply and evaluate aggregate computing techniques to edge computing scenarios, and characterise a design pattern, called Self-organising Coordination Regions (SCR), that supports adjustable, decentralised decision-making and activity in dynamic environments.Con lo sviluppo di informatica e intelligenza artificiale, la diffusione pervasiva di device computazionali e la crescente interconnessione tra elementi fisici e digitali, emergono innumerevoli opportunità per la costruzione di sistemi socio-tecnici di nuova generazione. Tuttavia, l'ingegneria di tali sistemi presenta notevoli sfide, data la loro complessità—si pensi ai livelli, scale, eterogeneità, e interdipendenze coinvolti. Oltre a dispositivi smart individuali, collettivi cyber-fisici possono fornire servizi o risolvere problemi complessi con un “effetto sistema” che emerge dalla coordinazione e l'adattamento di componenti fra loro, l'ambiente e il contesto. Comprendere e costruire sistemi in grado di esibire intelligenza collettiva e capacità autonomiche è un importante problema di ricerca studiato, ad esempio, nel campo dei sistemi collettivi adattativi. Perciò, traendo ispirazione e partendo dall'attività di ricerca su coordinazione, sistemi multiagente e self-*, modelli di computazione spazio-temporali e, specialmente, sul recente paradigma di programmazione aggregata, questa tesi tratta concetti, metodi, e strumenti per l'ingegneria di ensemble di elementi situati eterogenei che devono essere in grado di lavorare, adattarsi, e auto-organizzarsi in modo decentralizzato. Il contributo di questa tesi consiste in quattro parti principali. In primo luogo, viene definito e implementato un linguaggio di programmazione aggregata (ScaFi), interno al linguaggio Scala, per descrivere comportamenti collettivi e adattativi secondo l'approccio dei campi computazionali. In secondo luogo, si propone e caratterizza l'astrazione di processo aggregato per rappresentare computazioni collettive dinamiche concorrenti, formalizzata come estensione al field calculus e implementata in ScaFi. Inoltre, si analizza e implementa un prototipo di middleware per sistemi aggregati, in grado di supportare più stili architetturali. Infine, si applicano e valutano tecniche di programmazione aggregata in scenari di edge computing, e si propone un pattern, Self-Organising Coordination Regions, per supportare, in modo decentralizzato, attività decisionali e di regolazione in ambienti dinamici

Modelling driving performance using implicit interaction

The current project has been realized in collaboration with EIT Digital and Philips Research as part of the high impact initiative in the health & well-being action line. The challenge we are facing in the present work is to design a system for professional truck drivers that monitors driving behavior and predicts vigilance degradation. The research ended with defining parameters that can model drowsiness, fatigue, stress, aggressiveness and driver inattentiveness. The final proposal includes an in-vehicle system that does not impede the drivers' primary or secondary tasks, requires no explicit user input and provides feedback that promotes driving awareness and safer on-road behavior. The system is being designed to support user identification, personal profiles, driving performance monitoring and context-aware interaction for providing personalized and relevant to the circumstances feedback. In order to reach the desired conclusion, we initially conducted a literature review on advanced human-computer interaction and intelligent systems models and we present a model-based interface that supports the desired functionalities. The work also included comparison of cutting edge technologies for affective computing and driver modelling. Due to the nature of the agreement with Philips, we are not authorized to disclose any information that relate to user studies, thus the reader is presented with hypothetical scenarios for system output and user feedback that remain to be verified. These scenarios have been shaped with the help of technology acceptance and data privacy academic papers as well as deep understanding of the driving related context