Guideline-Based Evaluation and Design Opportunities for Mobile Video-based Learning

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Learners consume video-based learning content on various mobile devices due to their mobility and accessibility. However, most video-based learning content is originally designed for desktop without consideration of constraints in mobile learning environments. We focus on readability and visibility problems caused by visual design elements such as text and images on varying screen sizes. To reveal design issues of current content, we examined mobile learning adequacy of content with 681 video frames from 108 video lectures. The content analysis revealed a distribution and guideline compliance rate of visual design elements. We also conducted semi-structured interviews with six video production engineers to investigate current practices and challenges in content design for mobile devices. Based on the interview results, we present a prototype that supports a guideline-based design of video learning content. Our findings can inform engineers and design tool makers on the challenges of editing mobile video-based learning content for accessible and adaptive design across devices. © 2021 ACM.
Publisher
Association for Computing Machinery
Issue Date
2021-05
Language
English
Citation

2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021, pp.1 - 6

DOI
10.1145/3411763.3451725
URI
http://hdl.handle.net/10203/288661
Appears in Collection
CS-Conference Papers(학술회의논문)
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