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Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

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Kim, Taewook, Han, Hyomin, Adar, Eytan, Kay, Matthew, Chung, John Joon Young·2024·Proceedings of the CHI Conference on Human Factors in Computing Systems
DOI 10.1145/3613904.3642529
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Abstract

Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author’s vision to the audience’s context and taste at scale. However, it is unclear what the authors’ values and attitudes would be regarding AI-bridged CLA. To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors’ concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors’ values.

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Cited by

Sorted by citations

Authors
Kim, T., Han, H., Adar, E., Kay, M., & Chung, J. J. Y.
Affiliations
  • Northwestern University (US)
  • University of Michigan (US)
  • Midjourney, United States
ORCID
Venue
Proceedings of the CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2024-05-11
Pages
1-16
DOI
10.1145/3613904.3642529
OpenAlex
W4392427378
Cited by
20
References
11
Citations by year
2026: 4 · 2025: 14 · 2024: 2
FWCI
70.23
Type
conference paper
Language
en
Open access
Licence
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
  • arXiv (Cornell University)
Funders
Northwestern University
Topics
  • Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
  • Social Sciences › Political Science and International Relations › Literary and Philosophical Studies
Keywords
generative AI, author attitudes, personalization, interactive media, poetry, comics, authorship, speculative scenarios

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