Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization

要旨

Creating promotional posts on social platforms enables everyday users to disseminate their creative outcomes, engage in community exchanges, or generate additional income from micro-businesses. However, crafting eye-catching posts with appealing images and effective captions can be challenging and time-consuming for everyday users since they are mostly design novices. We propose Influencer, an interactive tool that helps novice creators quickly generate ideas and create high-quality promotional post designs through AI. Influencer offers a multi-dimensional recommendation system for ideation through example-based image and caption suggestions. Further, Influencer implements a holistic promotional post-design system supporting context-aware exploration considering brand messages and user-specified design constraints, flexible fusion of content, and a mind-map-like layout for idea tracking. Our user study, comparing the system with industry-standard tools, along with two real-life case studies, indicates that Influencer is effective in assisting design novices to generate ideas as well as creative and diverse promotional posts with user-friendly interaction.

著者
Xuye Liu
University of Waterloo, Waterloo, Ontario, Canada
Annie Sun
University of Waterloo, Waterloo, Ontario, Canada
Pengcheng An
Southern University of Science and Technology, Shenzhen, China
Tengfei Ma
Stony Brook University, Stony Brook, New York, United States
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
DOI

10.1145/3706598.3713309

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713309

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: Storytelling and Sense-Making

G302
6 件の発表
2025-04-28 20:10:00
2025-04-28 21:40:00
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