Immersive Analytics
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| Author | : Kim Marriott |
| Publisher | : Springer |
| Total Pages | : 366 |
| Release | : 2018-10-15 |
| Genre | : Computers |
| ISBN | : 303001388X |
Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.
| Author | : S. Finlay |
| Publisher | : Springer |
| Total Pages | : 241 |
| Release | : 2014-07-01 |
| Genre | : Business & Economics |
| ISBN | : 1137379286 |
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
| Author | : Bhatt, Chintan |
| Publisher | : IGI Global |
| Total Pages | : 227 |
| Release | : 2021-08-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1799869903 |
Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.
| Author | : Ilias Maglogiannis |
| Publisher | : Springer Nature |
| Total Pages | : 169 |
| Release | : 2020-03-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3662611147 |
This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligent paradigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas, are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical and administrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.
| Author | : Panayiotis Zaphiris |
| Publisher | : Springer |
| Total Pages | : 403 |
| Release | : 2019-07-10 |
| Genre | : Computers |
| ISBN | : 3030218171 |
This two-volume set LNCS 11590 and 11591 constitutes the refereed proceedings of the 6th International Conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCII 2019, in Orlando, FL, USA in July 2019. The 1274 full papers 209 posters presented at the HCII 2019 conferences were carefully reviewed and selected from 5029 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: mobile and ubiquitous learning; virtual reality and augmented reality systems for learning; and collaborative technology.
| Author | : Dennis Beck |
| Publisher | : Springer |
| Total Pages | : 226 |
| Release | : 2018-06-15 |
| Genre | : Computers |
| ISBN | : 3319935968 |
This volume constitutes the refereed proceedings of the 4th International Conference of the Immersive Learning Network, iLRN 2018, held in Missoula, MT, USA, in June 2018. The 12 revised full papers and the two revised short papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on environmental sciences, climate change, immersive technologies; immersive technologies in cultural heritage; immersive technologies in primary and secondary education; games and game design.
| Author | : Kim Marriott |
| Publisher | : CRC Press |
| Total Pages | : 375 |
| Release | : 2024-09-04 |
| Genre | : Computers |
| ISBN | : 1040111416 |
We are living in the Golden Age of Data Visualization. The COVID-19 pandemic has demonstrated how we increasingly use data visualizations to make sense of the world. Business analysts fill their presentations with charts, journalists use infographics to engage their readers, we rely on the dials and gauges on our household appliances, and we use mapping apps on our smartphones to find our way. This book explains how and why this has happened. It details the evolution of information graphics, the kinds of graphics at the core of data visualization—maps, diagrams, charts, scientific and medical images—from prehistory to the present day. It explains how the cultural context, production and presentation technologies, and data availability have shaped the history of data visualization. It considers the perceptual and cognitive reasons why data visualization is so effective and explores the little-known world of tactile graphics—raised-line drawings used by people who are blind. The book also investigates the way visualization has shaped our modern world. The European Renaissance and the Scientific Revolution relied on maps and technical and scientific drawings, and graphics influence how we think about abstract concepts like time and social connection. This book is written for data visualization researchers and professionals and anyone interested in data visualization and the way we use graphics to understand and think about the world.
| Author | : Bongshin Lee |
| Publisher | : CRC Press |
| Total Pages | : 346 |
| Release | : 2021-12-22 |
| Genre | : Computers |
| ISBN | : 1000522776 |
Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create effective visualizations for mobile devices? This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Mobile Data Visualization is the first book to provide an overview of how to effectively visualize, analyze, and communicate data on mobile devices. Drawing from the expertise, research, and experience of an international range of academics and practitioners from across the domains of Visualization, Human Computer Interaction, and Ubiquitous Computing, the book explores the challenges of mobile visualization and explains how it differs from traditional data visualization. It highlights opportunities for reaching new audiences with engaging, interactive, and compelling mobile content. In nine chapters, this book presents interesting perspectives on mobile data visualization including: how to characterize and classify mobile visualizations; how to interact with them while on the go and with limited attention spans; how to adapt them to various mobile contexts; specific methods on how to design and evaluate them; reflections on privacy, ethical and other challenges, as well as an outlook to a future of ubiquitous visualization. This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.
| Author | : Carmelo Ardito |
| Publisher | : Springer Nature |
| Total Pages | : 698 |
| Release | : 2021-08-25 |
| Genre | : Computers |
| ISBN | : 3030856135 |
The five-volume set LNCS 12932-12936 constitutes the proceedings of the 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021, held in Bari, Italy, in August/September 2021. The total of 105 full papers presented together with 72 short papers and 70 other papers in these books was carefully reviewed and selected from 680 submissions. The contributions are organized in topical sections named: Part I: affective computing; assistive technology for cognition and neurodevelopment disorders; assistive technology for mobility and rehabilitation; assistive technology for visually impaired; augmented reality; computer supported cooperative work. Part II: COVID-19 & HCI; croudsourcing methods in HCI; design for automotive interfaces; design methods; designing for smart devices & IoT; designing for the elderly and accessibility; education and HCI; experiencing sound and music technologies; explainable AI. Part III: games and gamification; gesture interaction; human-centered AI; human-centered development of sustainable technology; human-robot interaction; information visualization; interactive design and cultural development. Part IV: interaction techniques; interaction with conversational agents; interaction with mobile devices; methods for user studies; personalization and recommender systems; social networks and social media; tangible interaction; usable security. Part V: user studies; virtual reality; courses; industrial experiences; interactive demos; panels; posters; workshops. The chapter ‘Stress Out: Translating Real-World Stressors into Audio-Visual Stress Cues in VR for Police Training’ is open access under a CC BY 4.0 license at link.springer.com. The chapter ‘WhatsApp in Politics?! Collaborative Tools Shifting Boundaries’ is open access under a CC BY 4.0 license at link.springer.com.
| Author | : Fintan McGee |
| Publisher | : Springer Nature |
| Total Pages | : 134 |
| Release | : 2022-06-01 |
| Genre | : Mathematics |
| ISBN | : 303102608X |
The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.
