@inproceedings{9ba4a2ca7e454a8082c1664263b88cc0,
title = "Picturing science: Design patterns in graphical abstracts",
abstract = "A graphical abstract (GA) provides a concise visual summary of a scientific contribution. GAs are increasingly required by journals to help make scientific publications more accessible to readers. We characterize the design space of GAs through a qualitative analysis of 54 GAs from a range of disciplines, and descriptions of GA design principles from scientific publishers. We present a set of design dimensions, visual structures, and design templates that describe how GAs communicate via pictorial and symbolic elements. By reflecting on how GAs employ visual metaphors, representational genres, and text relative to prior characterizations of how diagrams communicate, our work sheds light on how and why GAs may be distinct. We outline steps for future work at the intersection of HCI, AI, and scientific communication aimed at the creation of GAs.",
keywords = "Diagram, Graphical abstract, Information visualization",
author = "Jessica Hullman and Benjamin Bach",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 10th International Conference on the Theory and Application of Diagrams, Diagrams 2018 ; Conference date: 18-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-91376-6_19",
language = "English (US)",
isbn = "9783319913759",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "183--200",
editor = "Gem Stapleton and Francesco Bellucci and Amirouche Moktefi and Peter Chapman and Sarah Perez-Kriz",
booktitle = "Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings",
}