Understanding User Perceptions and the Role of AI Image Generators in Image Creation Workflows

要旨

The emergence of AI Image Generators (AIGs) has transformed image creation, making it more accessible to generate customized images from simple text prompts. While HCI research has explored the applications of text-to-image generation, the role of AIGs in visual content creation workflow remains relatively underexplored. To address this, we conducted in-depth interviews with 26 end users who had experience across 14 different AIGs and investigated users’ adoption and perceptions of AIGs and AI’s role throughout the entire workflow. Key factors examined include user goals, initial vision, tool integration, and decision-making. Our results indicated that functional goals often drive cross-tool integration to achieve desired outcomes, while in use cases motivated by recreational goals, the usage of AIGs influences the social implications of image sharing. We concluded with four distinct use cases, each highlighting how AIGs are integrated at different stages of the creative process based on varying user goals and visions.

著者
Shu-Jung Han
Cornell University, Ithaca, New York, United States
Susan R.. Fussell
Cornell University, Ithaca, New York, United States
DOI

10.1145/3706598.3713227

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713227

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Image and AI

G303
7 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
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