Designing Data Spaces

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

What Factors Influence The Consumer Use of Fully Autonomous Vehicles within the U.S.?

The inclusion of autonomous vehicle technology in modern cars is causing both consumer familiarity and consternation amidst a growing interest in the future of fully autonomous vehicles (FAVs). This study’s contributions are the key research constructs and interrelationships that positively influence consumers’ behavioral intention to use FAVs. The research study concludes and advances a better understanding of perceptions and opinions from consumers about their behavioral intentions to use FAVs and the level of favorability toward self-driving vehicular technology. As full vehicular autonomy does not yet exist, few extensive studies and experts exist within the automotive industry. Nevertheless, the number of those interested in working within and researching this coming technology is growing. Existing auto luxury and mass-market brands currently offer limited autonomous feature­s within their cars. The coming technology’s challenge is introducing it to consumers and complimenting that introduction with effective marketing communications to taut the benefits of fully autonomous vehicles. A lack of familiarity can exist if you are a current vehicle owner with (or user of) Semi-Autonomous Vehicle technology (SAV). It means most consumers may not be widely familiar with the automotive technology itself or what it has to offer them. FAV technology will continue to migrate downward within the United States (US) vehicular market into moderately low-priced automotive brand segments. Therefore, this study attempts to define what consumers currently know about fully self-driving cars, their overall expectations, and to what extent they are willing to consider operating and owning or using FAVs in the future. This cross-sectional, descriptive, and cross-relational research identifies factors influencing consumers\u27 perceptions of autonomous vehicle technology. Specifically, it addresses the following significant attributes that are related to FAVs: performance expectation, price value, hedonistic motivation, societal influence, locus of control, risk aversion, individual attitude, subjective norm, affective trust, cognitive trust, fully autonomous vehicle technology attractiveness, and affordability, as well as the behavioral intention to use it. To this end, thirteen hypotheses are forwarded and empirically tested. Keywords: Artificial Intelligence, Attitude, Autonomous Technology, Automobiles, Cars, Fully Autonomous Vehicles, Intelligent Transportation, Intention, Self-Driving Cars, Consumer Behavior, Consumer Marketing, Smart Mobility, and Technology Adoption

Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas

A WSSL Implementation for Critical CyberPhysical Systems Applications

The advancements in wireless communication technologies have enabled unprecedented pervasiveness and ubiquity of Cyber-Physical Systems (CPS). Such technologies can now empower true Systems-of-Systems (SoS), which cooperate to achieve more complex and efficient functionalities, such as vehicle automation, industry, residential automation, and others. However, for CPS applications to become a reality and fulfill their potential, safety and security must be guaranteed, particularly in critical systems, since they rely heavily on open communication systems, prone to intentional and non-intentional interferences. To address these issues, in this work, we propose designing a Wireless Security and Safety Layer (WSSL) architecture to be implemented in critical CPS applications. WSSL increases the reliability of these critical communications by enabling the detection of communication errors. Otherwise, it increases the CPS security using a message signature process that uniquely identifies the sender. So, this work intends to present the WSSL architecture and its implementation over two different scenarios: over Message Queue Telemetry Transport (MQTT) protocol and inside a simulation environment for communication between Unmanned Aerial Vehicles (UAVs) and Ground Control Stations in case of Beyond Visual Line of Sight (BVLOS) applications. We aim to prove that the WSSL does not significantly increase the system payload and demonstrate its safety and security resources, allowing it to be used in any general or critical CPS.Os avanços nas tecnologias de comunicação sem fios permitiram uma omnipresença e ubiquidade sem precedentes dos Sistemas Ciber-Físicos (CPS). CPS são a combinação de um sistema físico, um sistema cibernético, e a sua rede de comunicação. Tais tecnologias podem agora capacitar verdadeiros Sistemas de Sistemas (SoS) que cooperam para alcançar funcionalidades mais complexas e eficientes, tais como automação de veículos, indústria, automação residencial, e outras. As aplicações CPS são baseadas num ambiente complexo, onde sistemas estão interligados e dispositivos interagem entre si em grande escala. Estas circunstâncias aumentam a superfície de ataque, e os desafios para garantir fiabilidade e segurança. Contudo, para que as aplicações CPS se tornem realidade e alcancem o seu potencial, a segurança do funcionamento e segurança contra intrusões devem ser garantidas, particularmente em sistemas críticos, uma vez que dependem fortemente de sistemas de comunicação abertos, propensos a interferências intencionais e não intencionais. Tais interferências podem ocasionar graves danos ao ambiente e riscos a integridade física e moral das pessoas envolvidas. Neste trabalho, propõe-se a concepção de uma arquitectura WSSL, a ser implementada em aplicações críticas de CPS, para abordar estas questões. Esta arquitectura aumenta a fiabilidade das comunicações críticas, permitindo a detecção de erros de comunicação. Além disso, aumenta a segurança dos CPS utilizando um processo de assinatura de mensagem que identifica de forma única o remetente, garantindo a integridade e autenticidade, pilares cruciais da cibersegurança. Assim, pretende-se apresentar a definição, arquitectura e a implementação da WSSL sobre um protocolo MQTT (do inglês Message Queue Telemetry Transport) para avaliação dos custos associados a sua implementação, e provar que esta não aumenta significativamente a carga útil do sistema. Também é pretendido avaliar seu comportamento e custos a partir da implementação em um ambiente simulado para comunicação entre veículos aéreos não tripulados e estações de controle terrestres . Por fim, deve-se avaliar se os seus recursos de segurança são eficientes na detecção de erros relativos a segurança do funcionamento ou a segurança contra intrusões, permitindo a sua utilização em qualquer CPS, seja ele um CPS crítico ou não.N/

Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric review

Autonomous vehicles (AV) offer promising benefits to society in terms of safety, environmental impact and increased mobility. However, acute challenges persist with any novel technology, inlcuding the perceived risks and trust underlying public acceptance. While research examining the current state of AV public perceptions and future challenges related to both societal and individual barriers to trust and risk perceptions is emerging, it is highly fragmented across disciplines. To address this research gap, by using the Web of Science database, our study undertakes a bibliometric and performance analysis to identify the conceptual and intellectual structures of trust and risk narratives within the AV research field by investigating engineering, social sciences, marketing, and business and infrastructure domains to offer an interdisciplinary approach. Our analysis provides an overview of the key research area across the search categories of ‘trust’ and ‘risk’. Our results show three main clusters with regard to trust and risk, namely, behavioural aspects of AV interaction; uptake and acceptance; and modelling human–automation interaction. The synthesis of the literature allows a better understanding of the public perception of AV and its historical conception and development. It further offers a robust model of public perception in AV, outlining the key themes found in the literature and, in turn, offers critical directions for future research

Career Development Professionals\u27 Perceived Self-Efficacy with Baby Boomers from the Automotive Industry

The labor market has shifted toward automation with an aging workforce as jobs transitioned from vocational to career. Following the Great Recession, career development professionals struggled to prepare older workers for an evolving, competitive, global workforce for the generation known as baby boomers that prefer to remain in the workforce. The problem in this study was the gap between the career development needs of baby boomers from the automotive industry and the levels of support provided by career development professionals who serve this population. Grounded in Bandura’s social cognitive theory, the purpose of this comparative quantitative study was to determine if there is a difference in perceived self-efficacy among career development professionals, based on 3 career advising roles as educator, counselor, and human resource professional. Ninety-nine career development professionals and members of a partner organization of such professionals were selected using a convenience and snowball sampling and participated in an online survey using the career counseling self-efficacy scale. Analyses of variance revealed statistically significant differences in the subscale, vocational assessment and interpretation skills, and Hochberg test indicated differences in employment roles. The project deliverable was a white paper with recommendations of a professional development workshop for career development professionals so that they could better understand the unique developmental needs of baby boomers. The implication for positive social change was the increased self-efficacy of these professionals as they provide career-related services for baby boomers

Measuring Behavioural Intention to Accept Autonomous Vehicles: A Structural Equation Model

For decades, the user acceptance of information technology has been a vital field of study for psychologists and sociologists investigating new insights into the acceptance of behaviour at individual and organisational levels. Despite numerous models being proposed to predict consumer use of the behaviour of technology; the latest models and theories are still not able to fully capture the complexity of the factors influencing people behavioural intention to adopt Autonomous Vehicles (AV). The research adopts a pragmatic approach using multiple methods that was executed in the following phases. In phase I, the key factors influencing behavioural intention to use AV were identified using an initial survey with 408 participants, interviews were conducted with experts in the field of Psychology, Sociology and Computer Science, then the model was developed, and finally the hypothesis defined. In phase II, the conceptual model was empirically validated and refined by employing a survey research approach with another 482 participants. The constructs were operationalised by developing and validating the research instrument with content validity, reliability, construct validity approach and Structure Equation Modelling (SEM). In phase III a tool for information visualisation was developed bridging the gap between theoretical concepts and practical industry requirements. The findings suggested that all the constructs included in the conceptual model significantly influence the consumers’ behavioural intention (BI) to adopt AVs. Based on our evaluation we take the determinants self-efficacy, perceived safety, trust, anxiety and legal regulations into consideration and propose a theoretical AV technology acceptance model (AVTAM) by incorporating these determinants into the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The results show that anxiety is negatively correlated with BI. The contribution of this research towards theory is the development and validation of a research instrument that future studies can utilize to examine AV and other similar emerging technologies from a consumers’ perspective. An added contribution to practice is the development of an information visualisation tool to further explain different group behaviours towards technology adoption