Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts
This addresses the problem of understanding author perspectives on AI personalization in creative arts, but it is incremental as it focuses on qualitative insights without proposing new methods.
The study investigated authors' values and attitudes towards AI-bridged creative language arts, which personalize content to audiences at scale, by interviewing 18 authors across eight genres and identifying benefits and concerns related to author-audience dynamics.
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.