UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Sketchnote Components, Design Space Dimensions, and Strategies for Effective Visual Note Taking

Zheng, R; Fernández Camporro, M; Romat, H; Henry Riche, N; Bach, B; Chevalier, F; Hinckley, K; (2021) Sketchnote Components, Design Space Dimensions, and Strategies for Effective Visual Note Taking. In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. (pp. pp. 1-15). ACM Green open access

[thumbnail of CHI2021-Sketchnoting.pdf]
Preview
Text
CHI2021-Sketchnoting.pdf - Accepted Version

Download (67MB) | Preview

Abstract

Sketchnoting is a form of visual note taking where people listen to, synthesize, and visualize ideas from a talk or other event using a combination of pictures, diagrams, and text. Little is known about the design space of this kind of visual note taking. With an eye towards informing the implementation of digital equivalents of sketchnoting, inking, and note taking, we introduce a classification of sketchnote styles and techniques, with a qualitative analysis of 103 sketchnotes, and situated in context with six semi-structured follow up interviews. Our findings distill core sketchnote components (content, layout, structuring elements, and visual styling) and dimensions of the sketchnote design space, classifying levels of conciseness, illustration, structure, personification, cohesion, and craftsmanship. We unpack strategies to address particular note taking challenges, for example dealing with constraints of live drawings, and discuss relevance for future digital inking tools, such as recomposition, styling, and design suggestions.

Type: Proceedings paper
Title: Sketchnote Components, Design Space Dimensions, and Strategies for Effective Visual Note Taking
Event: CHI '21: CHI Conference on Human Factors in Computing Systems
ISBN-13: 9781450380966
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3411764.3445508
Publisher version: https://doi.org/10.1145/3411764.3445508
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10129007
Downloads since deposit
196Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item