DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jeongyeon | ko |
dc.contributor.author | Choi, Yubin | ko |
dc.contributor.author | Kahng, Minsuk | ko |
dc.contributor.author | Kim, Juho | ko |
dc.date.accessioned | 2022-10-05T13:00:28Z | - |
dc.date.available | 2022-10-05T13:00:28Z | - |
dc.date.created | 2022-09-27 | - |
dc.date.created | 2022-09-27 | - |
dc.date.created | 2022-09-27 | - |
dc.date.issued | 2022-05-02 | - |
dc.identifier.citation | 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 | - |
dc.identifier.uri | http://hdl.handle.net/10203/298872 | - |
dc.description.abstract | Mobile video-based learning attracts many learners with its mobility and ease of access. However, most lectures are designed for desktops. Our formative study reveals mobile learners' two major needs: more readable content and customizable video design. To support mobile-optimized learning, we present FitVid, a system that provides responsive and customizable video content. Our system consists of (1) an adaptation pipeline that reverse-engineers pixels to retrieve design elements (e.g., text, images) from videos, leveraging deep learning with a custom dataset, which powers (2) a UI that enables resizing, repositioning, and toggling in-video elements. The content adaptation improves the guideline compliance rate by 24% and 8% for word count and font size. The content evaluation study (n=198) shows that the adaptation significantly increases readability and user satisfaction. The user study (n=31) indicates that FitVid significantly improves learning experience, interactivity, and concentration. We discuss design implications for responsive and customizable video adaptation. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | FitVid: Responsive and Flexible Video Content Adaptation | - |
dc.type | Conference | - |
dc.identifier.wosid | 000890212502017 | - |
dc.identifier.scopusid | 2-s2.0-85130522510 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1145/3491102.3501948 | - |
dc.contributor.localauthor | Kim, Juho | - |
dc.contributor.nonIdAuthor | Kim, Jeongyeon | - |
dc.contributor.nonIdAuthor | Choi, Yubin | - |
dc.contributor.nonIdAuthor | Kahng, Minsuk | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.