Название: Mobile Data Visualization
Автор: Bongshin Lee, Raimund Dachselt, Petra Isenberg
Издательство: CRC Press
Серия: AK Peters Visualization Series
Год: 2022
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 151.5 MB

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.

Today, we live in a data-driven world, where Big Data are generated and captured by computing devices and sensors on and around us. Not only experts but also lay individuals have access to large amounts of data. Affordable wireless data communication services are widely available and new mobile device form factors and hardware capabilities continue to emerge, making the vision of data access for “everyone, anytime, anywhere” reality. Beyond the experts, lay individuals including data enthusiasts can and should benefit from data visualization, accessing and leveraging their data in personal contexts. As such, we witness the growing demand for visual access to data on small portable displays.

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.

Audience of this book:
This book introduces key concepts and important aspects on mobile data visualization with an aim to establish the research agenda and discuss the opportunities and challenges for mobile data visualization from both research and practical perspectives. The primary audience of this book is threefold: (1) students, both at the graduate and advanced undergraduate levels, who desire to gain a better understanding of this emerging topic; (2) visualization designers and practitioners who want to and need to design and develop mobile data visualization for their work; and (3) researchers who aim to expand their research scope to incorporate and leverage this topic while contributing to push the state of the art in mobile data visualization. Additional audiences include educators who want to provide helpful references to their students.