Introduction to the Special Issue on Big Data, Machine Learning, and AI Technologies for Art and Design
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editorial Free Access Share on Introduction to the Special Issue on Big Data, Machine Learning, and AI Technologies for Art and Design Editor: James She Social Media Lab., Hong Kong Uni. of Science 8 Technology, H.K. Social Media Lab., Hong Kong Uni. of Science 8 Technology, H.K.View Profile Authors Info & Claims ACM Transactions on Multimedia Computing, Communications, and ApplicationsVolume 15Issue 2sApril 2019 Article No.: 57pp 1–3https://doi.org/10.1145/3338002Published:19 July 2019Publication History 1citation653DownloadsMetricsTotal Citations1Total Downloads653Last 12 Months169Last 6 weeks25 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF
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In the field of creative production, technological capabilities have constrained creative productivity and informed the ways in which creative practices are perceived and consumed by social stakeholders.
“In the field of creative production, it is an evolving relationship that technological capabilities have constrained creative productivity and informed the ways in which these creative practices are perceived and consumed by groups of social stakeholders who are actively participating as diverse agencies in this socio-technical innovation landscape [67].”
From Exploring Designers’ Perceptions and Practices of Collaborating with Generative AI as a Co-creative Agent in a Multi-stakeholder Design Process: Take the Domain of Avatar Design as an Example (2023) · cites this paper as [67]
The introduction says technological capabilities have constrained creative products and shaped how audiences perceive and interpret art and design. It does not say they constrained creative productivity, nor does it describe consumption by social stakeholders participating as diverse agencies. (LLM, conf=0.84)
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He, Q., Zheng, W., Bao, H., Chen, R., & Tong, X. (2023) · Proceedings of the Eleventh International Symposium of Chinese CHI · doi:10.1145/3629606.3629675 · Cited by 15 · see citing works
- Authors
- She, J. P. M.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Corresponding author
- James Pei Man She
- ORCID
- James Pei Man She
- Venue
- ACM Transactions on Multimedia Computing, Communications, and Applications
- Published
- 2019-04-30
- Volume
- 15
- Issue
- 2s
- Pages
- 1-3
- ISSN
- 1551-6857 (ISSN-L)
- 1551-6865
- OpenAlex
- W2967747063
- Cited by
- 3
- References
- 0
- Citations by year
- 2026: 1 · 2023: 1 · 2021: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM Transactions on Multimedia Computing Communications and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Keywords
- big data, machine learning, artificial intelligence, art, design
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