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

要旨

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.

受賞
Honorable Mention
著者
Taewook Kim
Northwestern University, Evanston, Illinois, United States
Hyomin Han
Northwestern University, Evanston, Illinois, United States
Eytan Adar
University of Michigan, Ann Arbor, Michigan, United States
Matthew Kay
Northwestern University, Chicago, Illinois, United States
John Joon Young. Chung
University of Michigan, Ann Arbor, Michigan, United States
論文URL

https://doi.org/10.1145/3613904.3642529

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Arts and Creative AI

320 'Emalani Theater
4 件の発表
2024-05-14 20:00:00
2024-05-14 21:20:00