Privacy Management in Smart Environments

This thesis addresses the issue of managing privacy in smart environments, while emphasizing problems and solutions in context of interpersonal privacy. It elaborates different concepts of privacy and how smart environments interfere with these concepts. In this context this work develops solutions to understand patterns of interpersonal privacy management, to orchestrate different disclosure control methods to a composite disclosure control system, and to automate disclosure decisions using machine learning techniques.Diese Arbeit befasst sich mit dem Umgang von privaten Daten in intelligenten Umgebungen, speziell im Kontext von sozialen Interaktionen. Es werden verschiedene Konzepte des Begriffes "Privacy" erarbeitet und aufgezeigt, welche Konflikte in intelligenten Umgebungen daraus resultieren. Entsprechend werden Lösungen erarbeitet, um Muster der Informationsfreigabe in sozialen Interaktionen zu erkennen, verschiedene Methoden der Freigabekontrolle zu einer integrierten Freigabekontrolle zu kombinieren und um Freigabeentscheidungen mit maschinellen Lernverfahren vorherzusagen

Ambient Intelligence with Wireless Grid Enabled Applications: A Case Study of the Launch and First Use Experience of WeJay Social Radio in Education

Wireless grid and ambient intelligent (AmI) environments are characterized as supportive of collaboration, interaction, and sharing. The conceptual framework advanced for this study incorporated the constructs of innovation, creativity and context awareness while offering emergence theory -- emergent properties, structures, patterns and behaviors -- to frame and investigate a wireless grid enabled social radio application which was theorized to be potentially transformative and disruptive. The unintended consequences and unexpected possibilities of wireless grid and smart environments were also addressed. Using a single case study, drawing upon multiple data collection methods, this research investigated the deployment and use experience of WeJay, an application incubated through the Wireless Grids Innovation Testbed (WiGiT), from the perspective of beta trial participants. Guided by the broad research question -- Do wireless grid enabled applications, such as WeJay social radio, add to the potential for new and transformative outcomes for people, information and technology when deployed in an academic setting? -- this empirical study sought to: a) learn more about the launch experience of this first pre-standards wireless grid enabled application among WiGiT members and selected Syracuse University students and faculty; b) understand how this application was interpreted for use; c) determine whether novel and unexpected uses emerged; d) investigate whether wireless grid enabled environments fostered innovation and creativity; and e) elicit whether a conceptual relationship was emerging between wireless grid and AmI environments, focusing on context-awareness and ambient learning. While this early stage of diffusion and first user sample was a key limitation of the study it was also the core strength. Although challenged by the state of readiness of WeJay, study findings supported the propositions that WeJay fosters innovation and creativity; that novel and unexpected uses were generated; and that the theorized relationship between wireless grid applications and embedded awareness does exist. Recommendations for enhanced tool readiness were made and embedded smartness was found to be both desirable and beneficial. This research makes a contribution as a bridge study for future research while having theoretical and methodological implications for research and practice. Social, emotion/affect, and human-centered computing (HCC) dimensions emerged as rich areas for further research

Regulatory Markets: The Future of AI Governance

Appropriately regulating artificial intelligence is an increasingly urgent policy challenge. Legislatures and regulators lack the specialized knowledge required to best translate public demands into legal requirements. Overreliance on industry self-regulation fails to hold producers and users of AI systems accountable to democratic demands. Regulatory markets, in which governments require the targets of regulation to purchase regulatory services from a private regulator, are proposed. This approach to AI regulation could overcome the limitations of both command-and-control regulation and self-regulation. Regulatory market could enable governments to establish policy priorities for the regulation of AI, whilst relying on market forces and industry R&D efforts to pioneer the methods of regulation that best achieve policymakers' stated objectives

Easing the smart home: a rule-based language and multi-agent structure for end user development in intelligent environments

Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, septiembre de 200

Securing the future: competitive but "fair" A critical exploration of the tangible and intangible push-pull factors for fair trade SME success

There is no moral pedestal for being a fair trade SME, when it comes to building value or competitiveness. The original concept of fair trade may not have changed, but today it has evolved beyond simply ‘black and white/in or out’. Indeed, the UK SME, just as their larger competitors, may not be Fairtrade© exclusive, whether that be in niche or mainstream markets. Furthermore, to trade using fair trade credentials alone will be insufficient, when their larger rivals can achieve economies of scale and through availability and convenience, target the ‘feel good’ consumer. Whilst Fairtrade© brings the poor farmer and shopper together and arguably ticks the box for large retailers, it is less clear ‘what is in it’ for the UK fair trade SME. The purpose of this thesis is to critically explore the tangible and intangible push-pull factors that enable them to grow and build resilience within a dynamic, but highly competitive ‘virtuous’ market. It will consider how SMEs balance their human, values based decisions with the pressure to remain viable and whether in reality, they simply make pragmatic mental trade-offs to secure their future. The research is exploratory, inductive and qualitative from the epistemological and ontological position of interpretivism and social constructivism; drawing upon grounded theory to support data coding and analysis. Semi-structured interviews were carried out with 13 SMEs in Yorkshire, Lancashire, Cumbria and London between December 2012 and June 2013. A coding framework was designed to classify those significant and interconnected factors and a typology of fair trade SMEs that reflects that one size ‘does not fit all’, within this growing and strategic market. Furthermore, through a values based orientation which extends across the supply chain, it will also show how ‘responsible business’ is a reality, through the creation of ‘shared value’

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

Designing individualisation of eco information via a user centred design approach

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThis thesis stemmed from the likely future scenario that the advancement of technologies will enable new ways for information display in everyday life. Following an initial review of existing research related to sustainable behaviour change and emerging technologies, a focus group study was conducted to explore people’s expectations for a ubiquitous eco information device at the point of purchase. It was found that there was a need for eco information provision that resembles eco labelling, but provides information in an interactive manner. This led to the definition of the research aim, which was ‘to encourage sustainable individual consumer behaviour at the point of purchase by proposing the design of eco information individualisation’. A literature review was undertaken to i) identify consumer issues of existing eco labelling practice and opportunities for improvement; ii) investigate the state-of-the-art of the development of various eco information solutions; and iii) explore the opportunities for eco information provision enabled by various contextual technologies. The literature revealed that nowadays consumers are facing difficulties in perceiving and understanding eco labels, and a number of the issues can potentially be tackled using a design approach. This thesis proposed the first conceptual framework of eco information individualisation for designers. ‘Eco information individualisation’ is a concept of tailoring eco labels according to the specific needs of individual users using contextual technologies. With technologies embedded on the product and the user, both of them can act as data carriers and have a traceable record (a ‘life history’). Information can be exchanged ubiquitously. An enabled product can be intelligent enough to appeal to a user with particular preferences. A second focus group study was conducted to evaluate the framework. A card sorting study was carried out to understand user's perception towards information conveyed on existing eco labels to inform the refinement of the framework. A design tool was developed to support designers in the designing of eco information individualisation. The tool was applied and evaluated in a design workshop. A mobile app prototype was then built based on a design output generated from the workshop. Findings from these studies have provided a greater understanding of designing for eco information individualisation, in particular through the creation of the framework, the design tool and the app, as well as the identification of user requirements for eco information design

Digitising the Industry Internet of Things Connecting the Physical, Digital and VirtualWorlds

This book provides an overview of the current Internet of Things (IoT) landscape, ranging from the research, innovation and development priorities to enabling technologies in a global context. A successful deployment of IoT technologies requires integration on all layers, be it cognitive and semantic aspects, middleware components, services, edge devices/machines and infrastructures. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC - Internet of Things European Research Cluster from research to technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster and the IoT European Platform Initiative (IoT-EPI) and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in the next years. The IoT is bridging the physical world with virtual world and requires sound information processing capabilities for the "digital shadows" of these real things. The research and innovation in nanoelectronics, semiconductor, sensors/actuators, communication, analytics technologies, cyber-physical systems, software, swarm intelligent and deep learning systems are essential for the successful deployment of IoT applications. The emergence of IoT platforms with multiple functionalities enables rapid development and lower costs by offering standardised components that can be shared across multiple solutions in many industry verticals. The IoT applications will gradually move from vertical, single purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organisations and people, being one of the essential paradigms of the digital economy. Many of those applications still have to be identified and involvement of end-users including the creative sector in this innovation is crucial. The IoT applications and deployments as integrated building blocks of the new digital economy are part of the accompanying IoT policy framework to address issues of horizontal nature and common interest (i.e. privacy, end-to-end security, user acceptance, societal, ethical aspects and legal issues) for providing trusted IoT solutions in a coordinated and consolidated manner across the IoT activities and pilots. In this, context IoT ecosystems offer solutions beyond a platform and solve important technical challenges in the different verticals and across verticals. These IoT technology ecosystems are instrumental for the deployment of large pilots and can easily be connected to or build upon the core IoT solutions for different applications in order to expand the system of use and allow new and even unanticipated IoT end uses. Technical topics discussed in the book include: • Introduction• Digitising industry and IoT as key enabler in the new era of Digital Economy• IoT Strategic Research and Innovation Agenda• IoT in the digital industrial context: Digital Single Market• Integration of heterogeneous systems and bridging the virtual, digital and physical worlds• Federated IoT platforms and interoperability• Evolution from intelligent devices to connected systems of systems by adding new layers of cognitive behaviour, artificial intelligence and user interfaces.• Innovation through IoT ecosystems• Trust-based IoT end-to-end security, privacy framework• User acceptance, societal, ethical aspects and legal issues• Internet of Things Application