2026-06-25 ワシントン大学（UW）
＜関連情報＞
- https://www.washington.edu/news/2026/06/25/papertok-an-ai-system-that-helps-users-turn-research-papers-into-short-engaging-videos/
- https://dl.acm.org/doi/10.1145/3772318.3790553
PaperTok：研究コミュニケーションのための短編動画制作における生成型AIの活用を探る PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication
Meziah Ruby Cristobal, Hyeonjeong Byeon, Tze-Yu Chen, Ruoxi Shang, Donghoon Shin, Ruican Zhong, Tony Zhou, Gary Hsieh
CHI ’26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems Published: 13 April 2026
DOI:https://doi.org/10.1145/3772318.3790553
Abstract
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.
