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Exploring Co-creative Drawing Workflows
This article presents the outcomes from a mixed-methods study of drawing practitioners (e.g., professional illustrators, fine artists, and art students) that was conducted in Autumn 2018 as a preliminary investigation for the development of a physical human-AI co-creative drawing system. The aim of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160468/ https://www.ncbi.nlm.nih.gov/pubmed/34055899 http://dx.doi.org/10.3389/frobt.2021.577770 |
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author | Jansen, Chipp Sklar, Elizabeth |
author_facet | Jansen, Chipp Sklar, Elizabeth |
author_sort | Jansen, Chipp |
collection | PubMed |
description | This article presents the outcomes from a mixed-methods study of drawing practitioners (e.g., professional illustrators, fine artists, and art students) that was conducted in Autumn 2018 as a preliminary investigation for the development of a physical human-AI co-creative drawing system. The aim of the study was to discover possible roles that technology could play in observing, modeling, and possibly assisting an artist with their drawing. The study had three components: a paper survey of artists' drawing practises, technology usage and attitudes, video recorded drawing exercises and a follow-up semi-structured interview which included a co-design discussion on how AI might contribute to their drawing workflow. Key themes identified from the interviews were (1) drawing with physical mediums is a traditional and primary way of creation; (2) artists' views on AI varied, where co-creative AI is preferable to didactic AI; and (3) artists have a critical and skeptical view on the automation of creative work with AI. Participants' input provided the basis for the design and technical specifications of a co-creative drawing prototype, for which details are presented in this article. In addition, lessons learned from conducting the user study are presented with a reflection on future studies with drawing practitioners. |
format | Online Article Text |
id | pubmed-8160468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81604682021-05-29 Exploring Co-creative Drawing Workflows Jansen, Chipp Sklar, Elizabeth Front Robot AI Robotics and AI This article presents the outcomes from a mixed-methods study of drawing practitioners (e.g., professional illustrators, fine artists, and art students) that was conducted in Autumn 2018 as a preliminary investigation for the development of a physical human-AI co-creative drawing system. The aim of the study was to discover possible roles that technology could play in observing, modeling, and possibly assisting an artist with their drawing. The study had three components: a paper survey of artists' drawing practises, technology usage and attitudes, video recorded drawing exercises and a follow-up semi-structured interview which included a co-design discussion on how AI might contribute to their drawing workflow. Key themes identified from the interviews were (1) drawing with physical mediums is a traditional and primary way of creation; (2) artists' views on AI varied, where co-creative AI is preferable to didactic AI; and (3) artists have a critical and skeptical view on the automation of creative work with AI. Participants' input provided the basis for the design and technical specifications of a co-creative drawing prototype, for which details are presented in this article. In addition, lessons learned from conducting the user study are presented with a reflection on future studies with drawing practitioners. Frontiers Media S.A. 2021-05-14 /pmc/articles/PMC8160468/ /pubmed/34055899 http://dx.doi.org/10.3389/frobt.2021.577770 Text en Copyright © 2021 Jansen and Sklar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Jansen, Chipp Sklar, Elizabeth Exploring Co-creative Drawing Workflows |
title | Exploring Co-creative Drawing Workflows |
title_full | Exploring Co-creative Drawing Workflows |
title_fullStr | Exploring Co-creative Drawing Workflows |
title_full_unstemmed | Exploring Co-creative Drawing Workflows |
title_short | Exploring Co-creative Drawing Workflows |
title_sort | exploring co-creative drawing workflows |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160468/ https://www.ncbi.nlm.nih.gov/pubmed/34055899 http://dx.doi.org/10.3389/frobt.2021.577770 |
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