PodReels: Human-AI Co-Creation of Video Podcast Teasers

Fuente: arXiv
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Main Authors: Wang, Sitong, Ning, Zheng, Truong, Anh, Dontcheva, Mira, Li, Dingzeyu, Chilton, Lydia B.
Format: Preprint
Published: 2023
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_version_ 1866910439793754112
author Wang, Sitong
Ning, Zheng
Truong, Anh
Dontcheva, Mira
Li, Dingzeyu
Chilton, Lydia B.
author_facet Wang, Sitong
Ning, Zheng
Truong, Anh
Dontcheva, Mira
Li, Dingzeyu
Chilton, Lydia B.
contents Video podcast teasers are short videos that can be shared on social media platforms to capture interest in the full episodes of a video podcast. These teasers enable long-form podcasters to reach new audiences and gain new followers. However, creating a compelling teaser from an hour-long episode is challenging. Selecting interesting clips requires significant mental effort; editing the chosen clips into a cohesive, well-produced teaser is time-consuming. To support the creation of video podcast teasers, we first investigate what makes a good teaser. We combine insights from both audience comments and creator interviews to determine a set of essential ingredients. We also identify a common workflow shared by creators during the process. Based on these findings, we introduce a human-AI co-creative tool called PodReels to assist video podcasters in creating teasers. Our user study shows that PodReels significantly reduces creators' mental demand and improves their efficiency in producing video podcast teasers.
format Preprint
id arxiv_https___arxiv_org_abs_2311_05867
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle PodReels: Human-AI Co-Creation of Video Podcast Teasers
Wang, Sitong
Ning, Zheng
Truong, Anh
Dontcheva, Mira
Li, Dingzeyu
Chilton, Lydia B.
Human-Computer Interaction
Video podcast teasers are short videos that can be shared on social media platforms to capture interest in the full episodes of a video podcast. These teasers enable long-form podcasters to reach new audiences and gain new followers. However, creating a compelling teaser from an hour-long episode is challenging. Selecting interesting clips requires significant mental effort; editing the chosen clips into a cohesive, well-produced teaser is time-consuming. To support the creation of video podcast teasers, we first investigate what makes a good teaser. We combine insights from both audience comments and creator interviews to determine a set of essential ingredients. We also identify a common workflow shared by creators during the process. Based on these findings, we introduce a human-AI co-creative tool called PodReels to assist video podcasters in creating teasers. Our user study shows that PodReels significantly reduces creators' mental demand and improves their efficiency in producing video podcast teasers.
title PodReels: Human-AI Co-Creation of Video Podcast Teasers
topic Human-Computer Interaction
url https://arxiv.org/abs/2311.05867