Zusammenfassung: This book investigates the potential of combining the more quantitative - data-driven techniques with the more qualitative - theory-driven approaches towards the design of user-centred intelligent systems. It seeks to explore the potential of incorporating factors grounded in psychological theory into adaptive/intelligent routines, mechanisms, technologies and innovations. It highlights models, methods and tools that are emerging from their convergence along with challenges and lessons learned. Special emphasis is placed on promoting original insights and paradigms with respect to latest technologies, current research trends, and innovation directions, e.g., incorporating variables derived from psychological theory and individual differences in adaptive intelligent systems so as to increase explainability, fairness, and transparency, and decrease bias during interactions while the control remains with the user

This book constitutes the refereed proceedings of the 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, held in Costa de Caparica, Portugal, in May 2017. The 46 revised full papers were carefully reviewed and selected from 95 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for smart systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks, computational intelligence, systems analysis, smart manufacturing systems, smart sensorial systems, embedded and real time systems, energy: management, energy: optimization, distributed infrastructure, solar energy, electrical machines, power electronics, and electronics.

This book offers readers a holistic understanding of intelligent environments, encompassing their definition, design, interaction paradigms, the role of Artificial Intelligence (AI), and the associated broader philosophical and procedural aspects. Elaborates on AI research and the creation of intelligent environments. Zooms in on designing interactions with the IoT, intelligent agents and robots. Discusses overarching topics for the design of intelligent environments, including user interface adaptation, design for all, sustainability, cybersecurity, privacy and trust. Provides insights into the intricacies of various intelligent environment contexts, such as in automotive, urban interfaces, smart cities and beyond. This book has been written for individuals interested in Human-Computer Interaction research and applications.

The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense. The second volume contains papers on machine learning, immunity-based systems, medical diagnosis, intelligent hybrid systems and control, emotional intelligence and smart systems, context-aware evolvable systems, intelligent fuzzy systems and control, knowledge representation and its practical application in today's society, approaches and methods into security engineering, communicative intelligence, intelligent watermarking algorithms and applications, intelligent techniques and control, e-learning and ICT, logic based intelligent information systems, intelligent agents and their applications, innovations in intelligent agents, ontologies and the semantic web, knowledge discovery in data streams, computational intelligence tools techniques and algorithms, watermarking applications, multimedia retrieval, soft computing approach to industrial engineering, and experience management and information systems.

Intelligent Environments (IE) play an increasingly important role in many areas of our lives, including education, healthcare and the domestic environment. The term refers to physical spaces incorporating pervasive computing technology used to achieve specific goals for the user, the environment or both. This book presents the proceedings of the workshops of the 9th International Conference on Intelligent Environments (IE ‘13), held in Athens, Greece, in July 2013. The workshops which were presented in the context of this conference range from regular lectures to practical sessions. They provide a forum for scientists, researchers and engineers from both industry and academia to engage in discussions on newly emerging or rapidly evolving topics in the field. Topics covered in the workshops include artificial intelligence techniques for ambient intelligence; applications of affective computing in intelligent environments; smart offices and other workplaces; intelligent environment technology in education for creative learning; museums as intelligent environments; the application of intelligent environment technologies in the urban context for creating more sociable, intelligent cities and for constructing urban intelligence. IE can enrich user experience, better manage the environment’s resources, and increase user awareness of that environment. This book will be of interest to all those whose work involves the application of intelligent environments.

This book focuses on the importance of adaptation and personalization in today’s society and the upgraded role computational systems and the Internet play in our day-to-day activities. In this era of wireless communication, pervasive computing and the Internet of Things, it is becoming increasingly critical to ensure humans remain central in the developmental process of new technologies to guarantee their continued usefulness and a positive end-user experience. Organized into three clear parts - theory, principles and practice, a holistic approach to designing and developing adaptive interactive systems and services has been adopted. With an emphasis on distinct human factors, both basic and applied research topics are explored, extending from human-centred user models, driven by user’s individual differences in cognitive processing and emotions, to the creation of smart interfaces that can handle the ever increasing volume and complexity of information to the benefit of the end-user. Human-Centred Web Adaptation and Personalization – From Theory to Practice is meticulously crafted to serve researchers, practitioners, and students who wish to have an end-to-end understanding of how to convert pure research and scientific results into viable user interfaces, system components and applications. It will serve to bridge the knowledge gap that still remains by suggesting interaction design and implementation guidelines for areas like E-Commerce, E-Learning and Usable Security.

"In this book, Vivek Kale makes an important contribution to the theory and practice of enterprise architecture ... this book captures the breadth and depth of information that a modern enterprise architecture must address to effectively support an agile enterprise. This book should have a place in every practicing architect's library." —John D. McDowall, Author of Complex Enterprise Architecture Digital Transformation of Enterprise Architecture is the first book to propose Enterprise Architecture (EA) as the most important element (after Business Models) for digital transformation of enterprises. This book makes digital transformation more tangible by showing the rationale and typical technologies associated with it, and these technologies in turn reveal the essence of digital transformation. This book would be useful for analysts, designers and developers of future-ready agile application systems. This book proposes that it is the perennial quest for interoperability & portability, scalability, availability, etc., that has directed and driven the evolution of the IT/IS industry in the past 50 years. It is this very quest that has led to the emergence of technologies like service-oriented, cloud, and big data computing. In addition to the conventional attributes of EA like interoperability, scalability and availability, this book identifies additional attributes of mobility, ubiquity, security, analyticity, and usability. This pragmatic book: Identifies three parts effort for any digital transformation: Business Models, Enterprise Architectures and Enterprise Processes. Describes eight attributes of EA: interoperability, scalability, availability, mobility, ubiquity, security, analyticity, and usability. Explains the corresponding technologies of service-oriented, cloud, big data, context-aware, Internet of Things (IoT), blockchain, soft, and interactive computing. Briefs on auxiliary technologies like integration, virtualization, replication, spatio-temporal databases, embedded systems, cryptography, data mining, and interactive interfaces that are essential for digital transformation of enterprise architecture. Introduces interactive interfaces like voice, gaze, gesture and 3D interfaces. Provides an overview of blockchain computing, soft computing, and customer interaction systems. Digital Transformation of Enterprise Architecture proposes that to withstand the disruptive digital storms of the future, enterprises must bring about digital transformation, i.e. a transformation that affects an exponential change (amplification or attenuation) in any aspect of the constituent attributes of EA. It proposes that each of these technologies (service-oriented, cloud, big data, context-aware, IoT, blockchain, soft, and interactive computing) bring about digital transformation of the corresponding EA attribute viz. interoperability, scalability, availability, mobility, ubiquity, security, analyticity, and usability.

This book constitutes the refereed proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014, held in Gold Coast, QLD, Australia, in December 2014. The conference was co-located with the 13th Pacific RIM International Conference on Artificial Intelligence, PRICAI 2014. The 21 revised full papers presented together with 15 short papers were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on self organization and social networks/crowdsourcing; logic and argumentation; simulation and assurance; interaction and applications; norms, games and social choice; and metrics, optimisation, negotiation and learning.

The two-volume set, LNCS 13325 and 13326, are conference proceedings that constitutes the refereed proceedings of the 10th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2022, held as part of the 24th International Conference, HCI International 2022, which took place during June-July 2022. The conference was held virtually due to the COVID-19 pandemic. The 58 papers of DAPI 2022 are organized in topical sections named for each volume: Part I: User Experience and Interaction Design for Smart Ecosystems; Smart Cities, Smart Islands, and Intelligent Urban Living; Smart Artifacts in Smart Environments; and Opportunities and Challenges for the Near Future Smart Environments Part II: Smart Living in Pervasive IoT Ecosystems; Distributed, Ambient, and Pervasive Education and Learning; Distributed, Ambient, and Pervasive Well-being and Healthcare; and Smart Creativity and Art.

This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.