Extending Manual Drawing Practices with Artist-Centric Programming Tools
Name
jacobs-chi2018-extending-manual-drawing.pdf
Description
Accepted version
Size
7.42 MB
Format
Adobe PDF
Checksum (MD5)
1e65d0696fce001ba5f7371d475e7eb0
Author(s)
Jacobs, Jennifer
Jacobs, Jennifer (Jennifer Mary)
Brandt, Joel
Mech, Radomír
Resnick, Mitchel
Date Issued
April 2018
Journal
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Publisher
ACM Press
Citation
Jacobs, Jennifer et al. "Extending Manual Drawing Practices with Artist-Centric Programming Tools." Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, April 2018, Montreal, Canada, ACM Press, April 2018. © 2018 Association for Computing Machinery
Version
Author's final manuscript
Abstract
Procedural art, or art made with programming, suggests opportunities to extend traditional arts like painting and drawing; however, this potential is limited by tools that conflict with manual practices. Programming languages present learning barriers and manual drawing input is not a first class primitive in common programming models. We hypothesize that by developing programming languages and environments that align with how manual artists work, we can build procedural systems that enhance, rather than displace, manual art. To explore this, we developed Dynamic Brushes, a programming and drawing environment motivated by interviews with artists. Dynamic Brushes enables the creation of ad-hoc drawing tools that transform stylus inputs to procedural patterns. Applications range from transforming individual strokes to behaviors that draw multiple strokes simultaneously, respond to temporal events, and leverage external data. Results from an extended evaluation with artists provide guidelines for learnable, expressive systems that blend manual and procedural creation.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3173574.3174164
