Multidisciplinary Applications Of Extended Reality For Human Experience
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Multidisciplinary Applications of Extended Reality for Human Experience
In today's rapidly evolving digital landscape, extended reality (XR) technologies have emerged as transformative tools that blur the boundaries between the physical and digital worlds. However, with this innovation comes a host of complex challenges. From ethical considerations in virtual reality research to legal and regulatory hurdles in extended reality, navigating this dynamic terrain requires a deep understanding of technology and human behavior. The lack of comprehensive resources that bridge these disciplines poses a significant barrier to those seeking to harness the full potential of immersive technologies. Multidisciplinary Applications of Extended Reality for Human Experience addresses this critical gap by offering a multidisciplinary exploration of XR's impact on society. Through expert contributions from diverse fields, including psychology, sociology, design, and culture, this book provides a comprehensive understanding of how XR technologies are reshaping human perceptions and interactions. It serves as a foundational text for academics, researchers, and industry professionals seeking to navigate the complexities of immersive technologies and their profound implications for human life.
Moral Design and Green Technology
Welcome to the Anthropocene, the era in which humans have put a tangible mark on our planet. But also the era in which humans and technology have the potential to shape the necessary transitions towards a sustainable world. Technology and nature are often considered as two opposing phenomena. However, they are increasingly intertwined, for better or worse. In this book, we explore how technology and nature relate to one another in the moral design of new, green technology. This book is relevant for IT and engineering professionals, business leaders and policy makers with (green) innovation in their portfolios and students of (applied) science who are interested in either sustainable and green design of technology or in the application of technology – with an emphasis on AI and IT – to create a greener, more sustainable world. The chapters have been written by experts and leading researchers in an attractive, accessible, and practical writing style. Each chapter offers colourful examples and challenges the reader to critically think through moral decision-making and the design of innovations considering our planet’s perspective. This is a conceptual change in values. Nature should not be considered as a resource: it is the fabric of life that makes our own existence possible.
Advanced Interdisciplinary Applications of Deep Learning for Data Science
Advanced interdisciplinary applications of deep learning are revolutionizing the field of data science, enabling new solutions across industries. By leveraging neural networks and datasets, deep learning techniques are transforming how businesses analyze, interpret, and gain insights from complex data. In fields like healthcare, finance, engineering, and business, deep learning models can uncover patterns and make predictions to enhance data-driven decision-making while fostering new opportunities in areas like personalized medicine, autonomous systems, and predictive analytics. As deep learning continues evolves, its interdisciplinary impact expands, creating new possibilities for solving challenges in data science. Advanced Interdisciplinary Applications of Deep Learning for Data Science explores innovations of deep learning technology in data science for various industries and sectors. It examines solutions for decision-making and patient or customer service using machine learning, AI, and predictive analytics. This book covers topics such as bioinformatics, environmental monitoring, and medical diseases, and is a useful resource for data scientists, computer engineers, medical professionals, academicians, and researchers.