PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication

要旨

The dissemination of scholarly research is critical, yet researchers often lack the time and skills to create engaging content for popular media such as short-form videos. To address this gap, we explore the use of generative AI to help researchers transform their academic papers into accessible video content. Informed by a formative study with science communicators and content creators (N=8), we designed PaperTok, an end-to-end system that automates the initial creative labor by generating script options and corresponding audiovisual content from a source paper. Researchers can then refine based on their preferences with further prompting. A mixed-methods user study (N=18) and crowdsourced evaluation (N=100) demonstrate that PaperTok's workflow can help researchers create engaging and informative short-form videos. We also identified the need for more fine-grained controls in the creation process. To this end, we offer implications for future generative tools that support science outreach.

著者
Meziah Ruby Cristobal
University of Washington, Seattle, Washington, United States
Hyeonjeong Byeon
University of Washington, Seattle, Washington, United States
Tze-Yu Chen
University of Washington, Seattle, Washington, United States
Ruoxi Shang
University of Washington, Seattle, Washington, United States
Donghoon Shin
University of Washington, Seattle, Washington, United States
Ruican Zhong
University of Washington, Seattle, Washington, United States
Tony Zhou
University of Washington, Seattle, Washington, United States
Gary Hsieh
University of Washington, Seattle, Washington, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Generative AI in Design and Practice

P1 - Room 116
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00