Wunderkammers: Powerful Metaphors for ‘Tangible’ Experiential Knowledge Building

The paper identifies the need to support powerful metaphors that capture innovations of new emerging human computer interaction (HCI) technologies and innovative question and answering (Q&A) systems in the context of spatial learning and inquiry-based learning in education. Aim/goals of the research: Explore the potential of ‘Wunderkammer’ (curiosity cabinet) as a powerful metaphor to design new types of learning experiences catering for an ecology of artefacts (real or virtual objects) to provide a holistic context for educators to share and extend learning in action. Conclusions: We provide insight into the emergence of smart interactive objects with different types of sensors that can potentially support everyday life and the increasing access to new visual experiences through augment reality and virtual reality, for new types of tangible knowledge building that can be personalised and shared. This reshaping of human centred design and creating new experiences through tangible creations that externalize in real time and through new materials, the creative power of the ‘imaginations of movement’ provides new user experience design thinking through the concept of powerful metaphors, to provide core design requirements where the blending of worlds is common place

Resource Management for Edge Computing in Internet of Things (IoT)

Die große Anzahl an Geräten im Internet der Dinge (IoT) und deren kontinuierliche Datensammlungen führen zu einem rapiden Wachstum der gesammelten Datenmenge. Die Daten komplett mittels zentraler Cloud Server zu verarbeiten ist ineffizient und zum Teil sogar unmöglich oder unnötig. Darum wird die Datenverarbeitung an den Rand des Netzwerks verschoben, was zu den Konzepten des Edge Computings geführt hat. Informationsverarbeitung nahe an der Datenquelle (z.B. auf Gateways und Edge Geräten) reduziert nicht nur die hohe Arbeitslast zentraler Server und Netzwerke, sondern verringer auch die Latenz für Echtzeitanwendungen, da die potentiell unzuverlässige Kommunikation zu Cloud Servern mit ihrer unvorhersehbaren Netzwerklatenz vermieden wird. Aktuelle IoT Architekturen verwenden Gateways, um anwendungsspezifische Verbindungen zu IoT Geräten herzustellen. In typischen Konfigurationen teilen sich mehrere IoT Edge Geräte ein IoT Gateway. Wegen der begrenzten verfügbaren Bandbreite und Rechenkapazität eines IoT Gateways muss die Servicequalität (SQ) der verbundenen IoT Edge Geräte über die Zeit angepasst werden. Nicht nur um die Anforderungen der einzelnen Nutzer der IoT Geräte zu erfüllen, sondern auch um die SQBedürfnisse der anderen IoT Edge Geräte desselben Gateways zu tolerieren. Diese Arbeit untersucht zuerst essentielle Technologien für IoT und existierende Trends. Dabei werden charakteristische Eigenschaften von IoT für die Embedded Domäne, sowie eine umfassende IoT Perspektive für Eingebettete Systeme vorgestellt. Mehrere Anwendungen aus dem Gesundheitsbereich werden untersucht und implementiert, um ein Model für deren Datenverarbeitungssoftware abzuleiten. Dieses Anwendungsmodell hilft bei der Identifikation verschiedener Betriebsmodi. IoT Systeme erwarten von den Edge Geräten, dass sie mehrere Betriebsmodi unterstützen, um sich während des Betriebs an wechselnde Szenarien anpassen zu können. Z.B. Energiesparmodi bei geringen Batteriereserven trotz gleichzeitiger Aufrechterhaltung der kritischen Funktionalität oder einen Modus, um die Servicequalität auf Wunsch des Nutzers zu erhöhen etc. Diese Modi verwenden entweder verschiedene Auslagerungsschemata (z.B. die übertragung von Rohdaten, von partiell bearbeiteten Daten, oder nur des finalen Ergebnisses) oder verschiedene Servicequalitäten. Betriebsmodi unterscheiden sich in ihren Ressourcenanforderungen sowohl auf dem Gerät (z.B. Energieverbrauch), wie auch auf dem Gateway (z.B. Kommunikationsbandbreite, Rechenleistung, Speicher etc.). Die Auswahl des besten Betriebsmodus für Edge Geräte ist eine Herausforderung in Anbetracht der begrenzten Ressourcen am Rand des Netzwerks (z.B. Bandbreite und Rechenleistung des gemeinsamen Gateways), diverser Randbedingungen der IoT Edge Geräte (z.B. Batterielaufzeit, Servicequalität etc.) und der Laufzeitvariabilität am Rand der IoT Infrastruktur. In dieser Arbeit werden schnelle und effiziente Auswahltechniken für Betriebsmodi entwickelt und präsentiert. Wenn sich IoT Geräte in der Reichweite mehrerer Gateways befinden, ist die Verwaltung der gemeinsamen Ressourcen und die Auswahl der Betriebsmodi für die IoT Geräte sogar noch komplexer. In dieser Arbeit wird ein verteilter handelsorientierter Geräteverwaltungsmechanismus für IoT Systeme mit mehreren Gateways präsentiert. Dieser Mechanismus zielt auf das kombinierte Problem des Bindens (d.h. ein Gateway für jedes IoT Gerät bestimmen) und der Allokation (d.h. die zugewiesenen Ressourcen für jedes Gerät bestimmen) ab. Beginnend mit einer initialen Konfiguration verhandeln und kommunizieren die Gateways miteinander und migrieren IoT Geräte zwischen den Gateways, wenn es den Nutzen für das Gesamtsystem erhöht. In dieser Arbeit werden auch anwendungsspezifische Optimierungen für IoT Geräte vorgestellt. Drei Anwendungen für den Gesundheitsbereich wurden realisiert und für tragbare IoT Geräte untersucht. Es wird auch eine neuartige Kompressionsmethode vorgestellt, die speziell für IoT Anwendungen geeignet ist, die Bio-Signale für Gesundheitsüberwachungen verarbeiten. Diese Technik reduziert die zu übertragende Datenmenge des IoT Gerätes, wodurch die Ressourcenauslastung auf dem Gerät und dem gemeinsamen Gateway reduziert wird. Um die vorgeschlagenen Techniken und Mechanismen zu evaluieren, wurden einige Anwendungen auf IoT Plattformen untersucht, um ihre Parameter, wie die Ausführungszeit und Ressourcennutzung, zu bestimmen. Diese Parameter wurden dann in einem Rahmenwerk verwendet, welches das IoT Netzwerk modelliert, die Interaktion zwischen Geräten und Gateway erfasst und den Kommunikationsoverhead sowie die erreichte Batterielebenszeit und Servicequalität der Geräte misst. Die Algorithmen zur Auswahl der Betriebsmodi wurden zusätzlich auf IoT Plattformen implementiert, um ihre Overheads bzgl. Ausführungszeit und Speicherverbrauch zu messen

Microbial Integration on Player Experience of Hybrid Bio-digital Games

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019. Hybrid bio-digital games physically integrate non-human, living organisms into computer gaming hardware and software. Whilst such type of game can add novelty value, the positive impact of the added biological element on player experience has not yet been verified quantitatively. We conducted a study involving two groups of 20 participants, to compare player experiences of two versions of a video game called Mould Rush, which relies on the growth patterns of micro-organisms commonly known as ‘mould’. Results from self-reporting Game Experience Questionnaire (GEQ) showed that the group who played the version of Mould Rush that integrated real mould, had produced significantly higher mean GEQ scores (p <.001) on the following dimensions: Positive Affect; Sensory and Imaginative Immersion; Positive Experience; and Returning to Reality. Furthermore, results from participant interviews indicated that the slowness of mould growth was enjoyed by those who played real-mould-integrated version of Mould Rush. Contrastingly, the slowness was perceived as a negative feature for those who played the game without integrated mould. We discuss the implications and limitations of all of our findings

Validation of design artefacts for blockchain-enabled precision healthcare as a service.

Healthcare systems around the globe are currently experiencing a rapid wave of digital disruption. Current research in applying emerging technologies such as Big Data (BD), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Augmented Reality (AR), Virtual Reality (VR), Digital Twin (DT), Wearable Sensor (WS), Blockchain (BC) and Smart Contracts (SC) in contact tracing, tracking, drug discovery, care support and delivery, vaccine distribution, management, and delivery. These disruptive innovations have made it feasible for the healthcare industry to provide personalised digital health solutions and services to the people and ensure sustainability in healthcare. Precision Healthcare (PHC) is a new inclusion in digital healthcare that can support personalised needs. It focuses on supporting and providing precise healthcare delivery. Despite such potential, recent studies show that PHC is ineffectual due to the lower patient adoption in the system. Anecdotal evidence shows that people are refraining from adopting PHC due to distrust. This thesis presents a BC-enabled PHC ecosystem that addresses ongoing issues and challenges regarding low opt-in. The designed ecosystem also incorporates emerging information technologies that are potential to address the need for user-centricity, data privacy and security, accountability, transparency, interoperability, and scalability for a sustainable PHC ecosystem. The research adopts Soft System Methodology (SSM) to construct and validate the design artefact and sub-artefacts of the proposed PHC ecosystem that addresses the low opt-in problem. Following a comprehensive view of the scholarly literature, which resulted in a draft set of design principles and rules, eighteen design refinement interviews were conducted to develop the artefact and sub-artefacts for design specifications. The artefact and sub-artefacts were validated through a design validation workshop, where the designed ecosystem was presented to a Delphi panel of twenty-two health industry actors. The key research finding was that there is a need for data-driven, secure, transparent, scalable, individualised healthcare services to achieve sustainability in healthcare. It includes explainable AI, data standards for biosensor devices, affordable BC solutions for storage, privacy and security policy, interoperability, and usercentricity, which prompts further research and industry application. The proposed ecosystem is potentially effective in growing trust, influencing patients in active engagement with real-world implementation, and contributing to sustainability in healthcare

The NMC Horizon Report : 2014 Library Edition

Comprend des références bibliographiques

NMC horizon report: 2014 library edition

The NMC Horizon Report: 2014 Library Edition, examines key trends, significant challenges, and emerging technologies for their potential impact on academic and research libraries worldwide. While there are many local factors affecting libraries, there are also issues that transcend regional boundaries and common questions; it was with these questions in mind that this report was created. The NMC Horizon Report: 2014 Library Edition was produced by the NMC in collaboration with University of Applied Sciences (HTW) Chur, Technische Informationsbibliothek (TIB) Hannover, and ETH-Bibliothek Zurich.&nbsp;To create the report, an international body of experts from library management, education, technology, and other fields was convened as a panel. Over the course of three months in the spring of 2014, the 2014 Horizon Project Library Expert Panel came to a consensus about the topics that would appear here in the NMC Horizon Report: 2014 Library Edition.&nbsp

RESPECTING THE ETHICAL TENSION BETWEEN SURVEILLANCE AND PRIVACY IN PROMOTING PUBLIC HEALTH AND DISEASE MANAGEMENT

The recognition of the need to undertake surveillance and to protect privacy is well established. However, the continually changing circumstances and fast-paced development of healthcare today requires a continuing need to respect this ethical tension between surveillance and privacy. Hence, this dissertation is to respect the ethical tension between surveillance and privacy in promoting public health and disease management. This dissertation investigates the ethics of conducting public health surveillance, including the challenges associated with obtaining consent and protecting data from unauthorized access. The dissertation will focus on the ethical consequences of big data, including issues associated with obtaining informed consent, data ownership, and privacy. As the dissertation concludes, it will provide an ethical justification of observing privacy in public health surveillance. The analysis is pursued in the dissertation in the following manner. After a brief introduction in Chapter 1, the analysis begins in Chapter 2 by explaining the importance of consent with regard to protecting privacy, including confidentiality in clinical ethics. Chapter 3 moves the discussion to the realm of public health ethics, discussing two examples of population health matters to illustrate the dissertation’s focus. Chapter 4 focuses on the complex issue of disease management for which the ethical tension between surveillance and privacy is pivotal. Chapter 5 then discusses the critical need for respecting this ethical tension in research protocols from a global perspective. Chapter 6 moves the discussion to the fast-developing debate of data analysis in healthcare for which respecting the ethical tension between surveillance and privacy will be pivotal for the continuing success in this new arena. Finally, Chapter 7 provides a brief conclusion to the dissertation

Innovative Learning Environments in STEM Higher Education

As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education

Internet of Things From Hype to Reality

The Internet of Things (IoT) has gained significant mindshare, let alone attention, in academia and the industry especially over the past few years. The reasons behind this interest are the potential capabilities that IoT promises to offer. On the personal level, it paints a picture of a future world where all the things in our ambient environment are connected to the Internet and seamlessly communicate with each other to operate intelligently. The ultimate goal is to enable objects around us to efficiently sense our surroundings, inexpensively communicate, and ultimately create a better environment for us: one where everyday objects act based on what we need and like without explicit instructions