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.
| Original language | English (US) |
|---|---|
| Title of host publication | Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings |
| Editors | Gem Stapleton, Francesco Bellucci, Amirouche Moktefi, Peter Chapman, Sarah Perez-Kriz |
| Publisher | Springer Verlag |
| Pages | 183-200 |
| Number of pages | 18 |
| ISBN (Print) | 9783319913759 |
| DOIs | |
| State | Published - Jan 1 2018 |
| Event | 10th International Conference on the Theory and Application of Diagrams, Diagrams 2018 - Edinburgh, United Kingdom Duration: Jun 18 2018 → Jun 22 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10871 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 10th International Conference on the Theory and Application of Diagrams, Diagrams 2018 |
|---|---|
| Country | United Kingdom |
| City | Edinburgh |
| Period | 6/18/18 → 6/22/18 |
Fingerprint
Keywords
- Diagram
- Graphical abstract
- Information visualization
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
}
Picturing science : Design patterns in graphical abstracts. / Hullman, Jessica; Bach, Benjamin.
Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings. ed. / Gem Stapleton; Francesco Bellucci; Amirouche Moktefi; Peter Chapman; Sarah Perez-Kriz. Springer Verlag, 2018. p. 183-200 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10871 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Picturing science
T2 - Design patterns in graphical abstracts
AU - Hullman, Jessica
AU - Bach, Benjamin
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Diagram
KW - Graphical abstract
KW - Information visualization
UR - http://www.scopus.com/inward/record.url?scp=85048631563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048631563&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91376-6_19
DO - 10.1007/978-3-319-91376-6_19
M3 - Conference contribution
AN - SCOPUS:85048631563
SN - 9783319913759
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 200
BT - Diagrammatic Representation and Inference - 10th International Conference, Diagrams 2018, Proceedings
A2 - Stapleton, Gem
A2 - Bellucci, Francesco
A2 - Moktefi, Amirouche
A2 - Chapman, Peter
A2 - Perez-Kriz, Sarah
PB - Springer Verlag
ER -