- 296 pages
- ePUB (mobile friendly)
- Available on iOS & Android
About This Book
This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.
Frequently asked questions
- To bring together academic and industrial researchers from the human-computer interaction, cognitive psychology, information visualization, and visual analytics research communities, as well as storytelling experts from data journalism, design, art, and education.
- To prepare a data-driven storytelling research agenda that includes a definition of data-driven storytelling, to compile examples, and to provide a detailed description of research directions in this space, and to offer a motivating list of research opportunities and challenges.
- To investigate how the evaluation of data-driven stories can be done, including via expert critique, as well as through studies of audience comprehension, engagement, biases, and visualization literacy.
- To discuss the ethics of data-driven storytelling authoring, identifying possible sources of bias and investigating how the lie factor of static visualizations applies to different media.
- To compile examples of good and bad practices in application domains (data journalism, design, art, and education) and report on current processes and practices to create data-driven stories.
- To formalize and explore the design space for novel consumption experiences in each domain. In particular, to reflect on the various advantages of different devices and input technologies (e.g., mobile phones, touch, or pen-enabled interfaces).
- To formalize and explore the design space for novel authoring interfaces to democratize data-driven storytelling, focusing on audiences that are not able to program their own custom experiences.
- To build individual collaborations between the seminar attendees and hence, build the community around data-driven storytelling research.