PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication
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arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866914280465498112 |
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| author | Cristobal, Meziah Ruby Byeon, Hyeonjeong Chen, Tze-Yu Shang, Ruoxi Shin, Donghoon Zhong, Ruican Zhou, Tony Hsieh, Gary |
| author_facet | Cristobal, Meziah Ruby Byeon, Hyeonjeong Chen, Tze-Yu Shang, Ruoxi Shin, Donghoon Zhong, Ruican Zhou, Tony Hsieh, Gary |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18218 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication Cristobal, Meziah Ruby Byeon, Hyeonjeong Chen, Tze-Yu Shang, Ruoxi Shin, Donghoon Zhong, Ruican Zhou, Tony Hsieh, Gary Human-Computer Interaction Artificial Intelligence Computation and Language H.5.2; I.2.7 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. |
| title | PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication |
| topic | Human-Computer Interaction Artificial Intelligence Computation and Language H.5.2; I.2.7 |
| url | https://arxiv.org/abs/2601.18218 |