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Deep Learning Techniques for Automation and Industrial Applications
by Abhishek Kumar Pramod Singh Rathore Sachin Ahuja Anupam Baliyan Srinivasa Rao Burri Ajay KhuntetaThis book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. Deep learning algorithms and techniques are found to be useful in various areas, such as automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delays in children. “Deep Learning Techniques for Automation and Industrial Applications” presents a concise introduction to the recent advances in this field of artificial intelligence (AI). The broad-ranging discussion covers the algorithms and applications in AI, reasoning, machine learning, neural networks, reinforcement learning, and their applications in various domains like agriculture, manufacturing, and healthcare. Applying deep learning techniques or algorithms successfully in these areas requires a concerted effort, fostering integrative research between experts from diverse disciplines from data science to visualization. This book provides state-of-the-art approaches to deep learning covering detection and prediction, as well as future framework development, building service systems, and analytical aspects. For all these topics, various approaches to deep learning, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms, are explained. Audience The book will be useful to researchers and industry engineers working in information technology, data analytics network security, and manufacturing. Graduate and upper-level undergraduate students in advanced modeling and simulation courses will find this book very useful.
Augmented Reality and Virtual Reality in Special Education
by V. Ajantha Devi Yogesh Kumar Williamjeet SinghDiscover the groundbreaking potential of augmented reality in special education with this comprehensive book, which fills a significant research gap and explores the transformative impact of AR/VR on teaching and learning experiences for individuals with disabilities. Millions of young people across the world have impairments. Because of their apparent problems, these young people have typically been marginalized or excluded from schools. Studies on augmented reality applications in education for special children are still in their early stages and there is a dearth of research on the effects and implications of augmented reality in education for special children or individuals with special needs, such as intellectual disabilities, autism spectrum disorder, attention deficit hyperactivity disorder, and physical disabilities. Technological advancements have enabled the creation of whole new learning environments, vastly expanding the breadth and sophistication of teaching and learning activities. For example, several studies have shown that virtual reality and augmented reality can help autistic people understand facial emotions and improve their social skills. By compiling a collection of conceptual and research chapters investigating the infiltration of AR/VR into teaching and learning practices and experiences for disabled people, this book will fill a significant gap in current research literature.
Measurements and Instrumentation for Machine Vision
A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation.The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, agricultural automation, occlusion-aware disparity-based visual servoing, machine learning approaches for single-photon imaging, and augmented visual inertial wheel odometry.Each chapter is a result of expert research and collaboration, reviewed by peers and consulted by the book's editorial board. The authors provide in-depth reviews of the state of the art and present novel proposals, contributing to the development and futurist trends in the field of machine vision."Measurements and Instrumentation for Machine Vision" serves as a valuable resource for researchers, students, and professionals seeking to explore and implement machine vision technologies in various domains, promoting sustainability, human-centered solutions, and global problem-solving.
Measurements and Instrumentation for Machine Vision
by Jes Oleg Sergiyenko Wendy Flores-Fuentes Julio C. RodrA comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation.The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, agricultural automation, occlusion-aware disparity-based visual servoing, machine learning approaches for single-photon imaging, and augmented visual inertial wheel odometry.Each chapter is a result of expert research and collaboration, reviewed by peers and consulted by the book's editorial board. The authors provide in-depth reviews of the state of the art and present novel proposals, contributing to the development and futurist trends in the field of machine vision."Measurements and Instrumentation for Machine Vision" serves as a valuable resource for researchers, students, and professionals seeking to explore and implement machine vision technologies in various domains, promoting sustainability, human-centered solutions, and global problem-solving.
The Economic Lives of Platforms: Rethinking the Political Economy of Digital Markets
by Morten Axel Pedersen Jacob Ørmen Anne Mette Thorhauge Andreas Lindegaard Gregersen Eva Iris OttoThis interdisciplinary collection rethinks the political economy of the digital market by asking what came before platforms and suggesting what might come after them. By unpacking the concept of ‘platform economies’ into locally embedded variations of digital markets, the book identifies what is new about contemporary platforms and what is characteristic of wider historical, social and economic currents. The diverse team of authors employ various analytical approaches, including in-depth ethnographic studies, and theoretical and analytical reconceptualizations of platforms and the industries they encompass.Tapping into current themes including the decolonisation of the internet, this book offers a timely assessment of the implications of emerging reconfigurations between technology, information, society and markets.
The Economic Lives of Platforms: Rethinking the Political Economy of Digital Markets
by Anne Mette Thorhauge, Andreas Lindegaard Gregersen, Eva Iris Otto, Jacob Ørmen and Morten Axel PedersenThis interdisciplinary collection rethinks the political economy of the digital market by asking what came before platforms and suggesting what might come after them. By unpacking the concept of ‘platform economies’ into locally embedded variations of digital markets, the book identifies what is new about contemporary platforms and what is characteristic of wider historical, social and economic currents. The diverse team of authors employ various analytical approaches, including in-depth ethnographic studies, and theoretical and analytical reconceptualizations of platforms and the industries they encompass.Tapping into current themes including the decolonisation of the internet, this book offers a timely assessment of the implications of emerging reconfigurations between technology, information, society and markets.
Getting Started in ZBrush: An Introduction to Digital Sculpting and Illustration
by Gregory S. JohnsonGetting Started in ZBrush is a gentle introduction to ZBrush, today’s premier digital sculpting program. Beginning with the fundamentals of digital sculpting as well as a thorough introduction to the user interface, Getting Started in ZBrush will have you creating a variety of professional‑level 3D models in no time. More than just another button‑pushing manual, this comprehensive guide is packed with start‑to‑finish projects that ease you into the workflow of the program, while at the same time providing tips and tricks that will allow you to achieve certain tasks much more quickly. After progressing through the tutorials, you will be shown how to customize brushes, materials, scripts, and the interface so that you can utilize these tools to their full advantage.Special consideration is given to ZBrush’s integration plug‑ins with Maya and 3ds Max, allowing you to properly import and export your models in all programs. Texturing, painting, mapping, decimation, baking, and topology are also fully covered, so your Zbrush creations can come to life without sacrificing that high‑resolution look. Ease your way into this complex subject with this straight‑forward approach to Zbrush Perfect your technique with step‑by‑step tutorials that allow you to create high‑resolution models from start to finish Expand your knowledge by visiting the companion website, which features video demonstrations, project files, texture and model files, scripts, customized menus, brushes, and additional resources Written with the digital beginner in mind, this book will teach you all of the necessary information to begin working in ZBrush to create magnificent works of digital artwork! Through this book, ZBrush will empower you to be the digital artist you always wanted to be.
Getting Started in ZBrush: An Introduction to Digital Sculpting and Illustration
by Gregory S. JohnsonGetting Started in ZBrush is a gentle introduction to ZBrush, today’s premier digital sculpting program. Beginning with the fundamentals of digital sculpting as well as a thorough introduction to the user interface, Getting Started in ZBrush will have you creating a variety of professional‑level 3D models in no time. More than just another button‑pushing manual, this comprehensive guide is packed with start‑to‑finish projects that ease you into the workflow of the program, while at the same time providing tips and tricks that will allow you to achieve certain tasks much more quickly. After progressing through the tutorials, you will be shown how to customize brushes, materials, scripts, and the interface so that you can utilize these tools to their full advantage.Special consideration is given to ZBrush’s integration plug‑ins with Maya and 3ds Max, allowing you to properly import and export your models in all programs. Texturing, painting, mapping, decimation, baking, and topology are also fully covered, so your Zbrush creations can come to life without sacrificing that high‑resolution look. Ease your way into this complex subject with this straight‑forward approach to Zbrush Perfect your technique with step‑by‑step tutorials that allow you to create high‑resolution models from start to finish Expand your knowledge by visiting the companion website, which features video demonstrations, project files, texture and model files, scripts, customized menus, brushes, and additional resources Written with the digital beginner in mind, this book will teach you all of the necessary information to begin working in ZBrush to create magnificent works of digital artwork! Through this book, ZBrush will empower you to be the digital artist you always wanted to be.
Intelligent Systems of Computing and Informatics
Since 2011, the Fourth Industrial Revolution (IR4.0) has played a significant role in education, research, and industry. Data technologies have also evolved rapidly to cater to the rapidly growing size of the data as well as to enhance the security of the shared data through multiple resources and platforms.Intelligent Systems of Computing and Informatics aims to develop a new Intelligent Systems of Computing and Informatics (ISCI) to cater to the needs of industries in line with the United Nations’ Sustainable Development Goals (SDGs) of affordable and clean energy and sustainable cities and communities.Comprising 20 chapters by experts from all over the world, this book covers such topics as data technologies, machine learning, signal and image processing, software systems efficiency, computer networking, Internet of Things, and computational intelligence for real-life problems.Key Features: Develops a new system for computing and informatics Provides the state of the art of current research and studies in intelligence systems Written by experts in the field of computing and informatics This book is aimed at postgraduate students, researchers working in various research and development (R&D) agencies, and practitioners, as well as scientists that have an interest in ISCI.
Intelligent Systems of Computing and Informatics
by Anand J. Kulkarni Chin Kim On Abdul Karim, Samsul Ariffin Hijazi, Mohd Hanafi AhmadSince 2011, the Fourth Industrial Revolution (IR4.0) has played a significant role in education, research, and industry. Data technologies have also evolved rapidly to cater to the rapidly growing size of the data as well as to enhance the security of the shared data through multiple resources and platforms.Intelligent Systems of Computing and Informatics aims to develop a new Intelligent Systems of Computing and Informatics (ISCI) to cater to the needs of industries in line with the United Nations’ Sustainable Development Goals (SDGs) of affordable and clean energy and sustainable cities and communities.Comprising 20 chapters by experts from all over the world, this book covers such topics as data technologies, machine learning, signal and image processing, software systems efficiency, computer networking, Internet of Things, and computational intelligence for real-life problems.Key Features: Develops a new system for computing and informatics Provides the state of the art of current research and studies in intelligence systems Written by experts in the field of computing and informatics This book is aimed at postgraduate students, researchers working in various research and development (R&D) agencies, and practitioners, as well as scientists that have an interest in ISCI.
Explainable AI (XAI) for Sustainable Development: Trends and Applications
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.• Focuses on virtual machine placement and migration techniques for cloud data centres• Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services• Includes application of placement techniques for quality of service, performance, and reliability improvement• Explores data centre resource management, load balancing and orchestration using machine learning techniques• Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Explainable AI (XAI) for Sustainable Development: Trends and Applications
by Seifedine Kadry Rajesh Kumar Dhanaraj Ravi Shekhar Tiwari Lakshmi D.This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.• Focuses on virtual machine placement and migration techniques for cloud data centres• Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services• Includes application of placement techniques for quality of service, performance, and reliability improvement• Explores data centre resource management, load balancing and orchestration using machine learning techniques• Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification (Smart Sensors, Measurement and Instrumentation #47)
by Timothy Mastroianni Robert LeMoyneThis book is the second edition of the one originally published in 2017. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of gait, reflex response, and an assortment of other concepts that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more oriented to the unique requirements of the biomedical domain. The paradigm-shifting new wearables have been successfully applied to gait analysis, homebound therapy, and quantifiable exercise. Additionally, the confluence of wearable and wireless systems for healthcare with deep learning and neuromorphic applications for classification is addressed. The authors expect that these significant developments make this book valuable for all readers.
New Trends in Information and Communications Technology Applications: 7th National Conference, NTICT 2023, Baghdad, Iraq, December 20–21, 2023, Proceedings (Communications in Computer and Information Science #2096)
by Abbas M. Al-Bakry Safaa O. Al-Mamory Mouayad A. Sahib Haitham S. Hasan Jaafar A. Aldhaibani Ali N. Al-Shuwaili Rula A. Hamid Ali K. IdreesThis book constitutes the refereed proceedings of the 7th National Conference on New Trends in Information and Communications Technology Applications, NTICT 2023, held in Baghdad, Iraq, during December 20–21, 2023. The 28 full papers included in this book were carefully reviewed and selected from 92 submissions. They were organized in topical sections as follows: artificial intelligence and machine learning; and computer networks.
Advances in Multimodal Information Retrieval and Generation (Synthesis Lectures on Computer Vision)
by Chitta Baral Man Luo Tejas Gokhale Neeraj Varshney Yezhou YangThis book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of Transformer-based models, exploring the complexities of blending and interpreting the intricate connections between text and images. The authors present cutting-edge theories, methodologies, and frameworks dedicated to multimodal retrieval and generation, aiming to furnish readers with a comprehensive understanding of the current state and future prospects of multimodal AI. As such, the book is a crucial resource for anyone interested in delving into the intricacies of multimodal retrieval and generation. Serving as a bridge to mastering and leveraging advanced AI technologies in this field, the book is designed for students, researchers, practitioners, and AI aficionados alike, offering the tools needed to expand the horizons of what can be achieved in multimodal artificial intelligence.
Chip-Scale Power Supplies for DC-Link and Grid Applications
by Bernhard Wicht Christoph RindfleischThis book is a comprehensive single-source on the design of chip-scale high-voltage power supplies for low-power DC-link and grid applications. It is written in handbook style with systematic guidelines and includes implementation examples. The authors cover the full range, from technology fundamentals to circuit implementation details. The book includes guidelines for the application-specific selection of the converter topology, design guidelines for the inductive components, and a detailed description of low-power optimized control approaches and subcircuits. The authors also include guidelines for the selection and design of high-voltage on-chip power switches and for the reduction of parasitic effects such as capacitive losses.
Computer Information Systems and Industrial Management: 15th IFIP TC8 International Conference, CISIM 2016, Vilnius, Lithuania, September 14-16, 2016, Proceedings (Lecture Notes in Computer Science #9842)
by Khalid Saeed Władysław HomendaThis book constitutes the proceedings of the 15th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016. The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods for big data analytics; images, visualization, classification; optimization, tuning; scheduling in manufacturing and other applications; algorithms; decisions; intelligent distributed systems; and biometrics, identification, security.
RoboCup 2015: Robot World Cup XIX (Lecture Notes in Computer Science #9513)
by Luis Almeida Jianmin Ji Gerald Steinbauer Sean LukeThis book is the Proceedings of the 19th Annual RoboCup International Symposium, held in Hefei, China, in July 2015.The book contains 20 papers presented at the Symposium, carefully selected from 39 submissions. Additionally the book contains 11 champion team papers and one paper from the Workshop on Benchmarking Service Robots. The papers present current research in robotics, artificial intelligence, computer vision, multiagent systems, simulation, and other areas.
Digital Electronic Communications
by Julio César García-ÁlvarezThis book provides the basic concepts of electronic digital communication, applied to professional practice in communications engineering. The book begins with basic concepts of information theory and explains the need for digital communications, continuing with the basic schemes of digital communication prior to multiplexing, which applies to current digital communication networks, such as LTE, 5G and 6G. The book is intended for researchers, professionals, and second-year students of electrical engineering, electronics or telecommunications. It can also be useful to students in computer science, engineering physics or other disciplines who develop projects involving electronic communication systems.
Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis
by Ethan Bueno de Mesquita Anthony FowlerAn engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives.Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel.Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking.An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fieldsIntroduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuityUses real-world examples and data from a wide variety of subjectsIncludes practice questions and data exercises
Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R
by Galit Shmueli Peter C. Bruce Nitin R. Patel Inbal Yahav Peter GedeckMACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Leading the Internal Audit Function (ISSN)
by Lynn FountainIn this book, the author presents lessons learned from her extensive experience as a CAE to help internal auditors understand the challenges, issues, and potential alternative solutions when executing the role. The book explains how to clarify management expectations for the internal audit and balance those expectations with the IIA Standards. It examines the concept of risk-based auditing and explains how to determine whether management and the internal audit team have the same objectives. It also looks at the internal auditor's role in corporate governance and fraud processes.
Smart Trends in Computing and Communications: Proceedings of SmartCom 2024, Volume 2 (Lecture Notes in Networks and Systems #946)
by Amit Joshi Tomonobu Senjyu Chakchai So–InThis book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
The Routledge Handbook of Role-Playing Game Studies (Routledge Media and Cultural Studies Handbooks)
by Sebastian Deterding José P. ZagalThis Handbook provides a comprehensive guide to the latest research on role-playing games (RPGs) across disciplines, cultures, and media in one single, accessible volume.Collaboratively authored by more than 40 key scholars, it traces the history of RPGs, from wargaming precursors to tabletop RPGs like Dungeons & Dragons to the rise of live-action role-play and contemporary computer RPG and massively multiplayer online RPG franchises, like Baldur’s Gate, Genshin Impact, and World of Warcraft. Individual chapters survey the perspectives, concepts, and findings on RPGs from key disciplines, like performance studies, sociology, psychology, education, economics, game design, literary studies, and more. Other chapters integrate insights from RPG studies around broadly significant topics, like worldbuilding, immersion, and player-character relations, as well as explore actual play and streaming, diversity, equity, inclusion, jubensha, therapeutic uses of RPGs, and storygames, journaling games, and other forms of text-based RPGs. Each chapter includes definitions of key terms and recommended readings to help students and scholars new to RPG studies find their way into this interdisciplinary field.A comprehensive reference volume ideal for students and scholars of game studies and immersive experiences and those looking to learn more about the ever-growing, interdisciplinary field of RPG studies.
The Routledge Handbook of Role-Playing Game Studies (Routledge Media and Cultural Studies Handbooks)
by Sebastian Deterding José P. ZagalThis Handbook provides a comprehensive guide to the latest research on role-playing games (RPGs) across disciplines, cultures, and media in one single, accessible volume.Collaboratively authored by more than 40 key scholars, it traces the history of RPGs, from wargaming precursors to tabletop RPGs like Dungeons & Dragons to the rise of live-action role-play and contemporary computer RPG and massively multiplayer online RPG franchises, like Baldur’s Gate, Genshin Impact, and World of Warcraft. Individual chapters survey the perspectives, concepts, and findings on RPGs from key disciplines, like performance studies, sociology, psychology, education, economics, game design, literary studies, and more. Other chapters integrate insights from RPG studies around broadly significant topics, like worldbuilding, immersion, and player-character relations, as well as explore actual play and streaming, diversity, equity, inclusion, jubensha, therapeutic uses of RPGs, and storygames, journaling games, and other forms of text-based RPGs. Each chapter includes definitions of key terms and recommended readings to help students and scholars new to RPG studies find their way into this interdisciplinary field.A comprehensive reference volume ideal for students and scholars of game studies and immersive experiences and those looking to learn more about the ever-growing, interdisciplinary field of RPG studies.