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The Routledge Companion to Narrative Theory
The Routledge Companion to Narrative Theory brings together top scholars in the field to explore the significance of narrative to pressing social, cultural, and theoretical issues. How does narrative both inform and limit the way we think today? From conspiracy theories and social media movements to racial politics and climate change future scenarios, the reach is broad. This volume is distinctive for addressing the complicated relations between the interdisciplinary narrative turn in the academy and the contemporary boom of instrumental storytelling in the public sphere. The scholars collected here explore new theories of causality, experientiality, and fictionality; challenge normative modes of storytelling; and offer polemical accounts of narrative fiction, nonfiction, and video games. Drawing upon the latest research in areas from cognitive sciences to complexity theory, the volume provides an accessible entry point for those new to the myriad applications of narrative theory and a point of departure for new scholarship.
Self-Tracking
This book provides an empirical and philosophical investigation of self-tracking practices. In recent years, there has been an explosion of apps and devices that enable the data capturing and monitoring of everyday activities, behaviours and habits. Encouraged by movements such as the Quantified Self, a growing number of people are embracing this culture of quantification and tracking in the spirit of improving their health and wellbeing. The aim of this book is to enhance understanding of this fast-growing trend, bringing together scholars who are working at the forefront of the critical study of self-tracking practices. Each chapter provides a different conceptual lens through which one can examine these practices, while grounding the discussion in relevant empirical examples. From phenomenology to discourse analysis, from questions of identity, privacy and agency to issues of surveillance and tracking at the workplace, this edited collection takes on a wide, and yet focused, approach to the timely topic of self-tracking. It constitutes a useful companion for scholars, students and everyday users interested in the Quantified Self phenomenon.
Graph Drawing
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Symposium on Graph Drawing, GD 2007, held in Sydney, Australia, September 24-26, 2007. The 27 full papers and 9 short papers presented together with 2 invited talks, and a report on the graph drawing contest were carefully selected from 74 initial submissions. All current aspects in graph drawing are addressed ranging from foundational and methodological issues to applications for various classes of graphs in a variety of fields.
International Journal for Digital Art History: Issue 3, 2018
Art History is centrally concerned with a vast array of three-dimensional objects, such as sculptures, and spaces, such as architecture. Digital technologies allow the creation of virtual spaces, which in turn allow us to simulate and compare aspects of a visual culture's three-dimensional timespace that cannot be communicated as a single, still image. The third issue, thus, focusses on the third dimension in Art History, and the digital realm that continues to mediate and transform it.
HCI International 2019 – Late Breaking Papers
This year the 21st International Conference on Human-Computer Interaction, HCII 2019, which was held in Orlando, Florida, USA, in July 2019, introduced the additional option of "late-breaking work", which applied both for papers and posters with the corresponding volumes of the proceedings. The 47 late-breaking papers included in this volume were published after the conference has taken place. They were organized in the following topical sections: user experience design and evaluation; information, visualization, and decision making; virtual and augmented reality; learning and games; human and task models in HCI; and design and user experience case studies.
The Golden Age of Data Visualization
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 ...
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments
As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and Human-Centered Experiments, this book is a primer for computer science researchers who intend to use crowdsourcing technology for human centered experiments. The focus of this Dagstuhl seminar, held in Dagstuhl Castle in November 2015, was to discuss experiences and methodological considerations when using crowdsourcing platforms to run human-centered experiments to test the effectiveness of visual representations. The inspiring Dagstuhl atmosphere fostered discussions and brought together researchers from different research directions. The papers provide information on crowdsourcing technology and experimental methodologies, comparisons between crowdsourcing and lab experiments, the use of crowdsourcing for visualisation, psychology, QoE and HCI empirical studies, and finally the nature of crowdworkers and their work, their motivation and demographic background, as well as the relationships among people forming the crowdsourcing community.
Human-Computer Interaction
The pervasive influence of technology continuously shapes our daily lives. From smartphones to smart homes, technology is revolutionizing the way we live, work and interact with each other. Human-computer interaction (HCI) is a multidisciplinary research field focusing on the study of people interacting with information technology and plays a critical role in the development of computing systems that work well for the people using them, ensuring the seamless integration of interactive systems into our technologically driven lifestyles. The book series contains six volumes providing extensive coverage of the field, wherein each one addresses different theoretical and practical aspects of the ...
Building Science Graphics
Building Science Graphics: An illustrated guide to communicating science through diagrams and visualizations is a practical guide for anyone—regardless of previous design experience and preferred drawing tools—interested in creating science-centric illustrated explanatory diagrams. Starting with a clear introduction to the concept of information graphics and their role in contemporary science communication, it then outlines a process for creating graphics using evidence-based design strategies. The heart of the book is composed of two step-by-step graphical worksheets, designed to help jump-start any new project. This is both a textbook and a practical reference for anyone that needs to convey scientific information in an illustrated form for articles, poster presentations, slide shows, press releases, blog posts, social media posts and beyond.
Network Science in Archaeology
The Cambridge Manual to Archaeological Network Science provides the first comprehensive guide to a field of research that has firmly established itself within archaeological practice in recent years. Network science methods are commonly used to explore big archaeological datasets and are essential for the formal study of past relational phenomena: social networks, transport systems, communication, and exchange. The volume offers a step-by-step description of network science methods and explores its theoretical foundations and applications in archaeological research, which are elaborately illustrated with archaeological examples. It also covers a vast range of network science techniques that can enhance archaeological research, including network data collection and management, exploratory network analysis, sampling issues and sensitivity analysis, spatial networks, and network visualisation. An essential reference handbook for both beginning and experienced archaeological network researchers, the volume includes boxes with definitions, boxed examples, exercises, and online supplementary learning and teaching materials.
