Multisensory perception is emerging as an important factor in shaping current lifestyles. Therefore, computer scientists, engineers, and technology experts are acknowledging the comparative power existing beyond visual explanations. Perceptions of Knowledge Visualization: Explaining Concepts through Meaningful Images discusses issues related to visualization of scientific concepts, picturing processes and products, as well as the role of computing in the advancement of visual literacy skills. By connecting theory with practice, this book gives researchers, computer scientists, and academics an active experience which enhances the perception and the role of computer graphics.

The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data. Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.

Stigma continues to play an integral role in the multifaceted issues facing mental health. While identifying a clear operational definition of stigma has been a challenge in the field, the issues related to stigma grossly affect not only the mental health population but society as a whole. Deconstructing Stigma in Mental Health provides emerging research on issues related to stigma as a whole including ignorance, prejudice, and discrimination. While highlighting issues such as stigma and its role in mental health and how stigma is perpetuated in society, this publication explores the historical context of stigma, current issues and resolutions through intersectional collaboration, and the deconstruction of mental health stigmas. This book is a valuable resource for mental health administrators and clinicians, researchers, educators, policy makers, and psychology professionals seeking information on current mental health stigma trends.

The relationship between language and psychology is one that has been studied for centuries. Influencing one another, these two fields uncover how the human mind's processes are interrelated. Psycholinguistics and Cognition in Language Processing is a critical scholarly resource that examines the mystery of language and the obscurity of psychology using innovative studies. Featuring coverage on a broad range of topics, such as language acquisition, emotional aspects in foreign language learning, and speech learning model, this book is geared towards linguists, academicians, practitioners, and researchers, seeking current research on the cognitive and emotional synthetisation of multilingualism.

The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances of emerging technology have allowed for new methods of representing such conceptual data. The Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization focuses on the use of visualization technologies to assist in the process of better comprehending scientific concepts, data, and applications. Highlighting the utilization of visual power and the roles of sensory perceptions, computer graphics, animation, and digital storytelling, this book is an essential reference source for instructors, engineers, programmers, and software developers interested in the exchange of information through the visual depiction of data.

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

"This book provides the reader with a concrete understanding of basic principles and pitfalls for 3-D capturing, highlighting stereoscopic imaging systems including holography"--