Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866916690643648512 |
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| author | Chen, Xia Chen, Xinyue Hu, Weixian Zheng, Haojia Qian, YuJun Peng, Zhenhui |
| author_facet | Chen, Xia Chen, Xinyue Hu, Weixian Zheng, Haojia Qian, YuJun Peng, Zhenhui |
| contents | Online Design Communities (ODCs) offer various artworks with members' comments for beginners to learn visual design. However, as identified by our Formative Study (N = 10), current ODCs lack features customized for personal learning purposes, e.g., searching artworks and digesting useful comments to learn design principles about buttons. In this paper, we present DesignLearner, a redesigned interface of ODCs to facilitate personalized visual design learning with comments structured based on UI components (e.g., button, text) and visual elements (e.g., color, contrast). In DesignLearner, learners can specify the UI components and visual elements that they wish to learn to filter artworks and associated comments. They can interactively read comments on an artwork, take notes, and get suggestions for the next artworks to explore. Our between-subjects study (N = 24) indicates that compared to a traditional ODC interface, DesignLearner can improve the user learning outcome and is deemed significantly more useful. We conclude with design considerations for customizing the interface of online communities to satisfy users' learning needs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09827 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments Chen, Xia Chen, Xinyue Hu, Weixian Zheng, Haojia Qian, YuJun Peng, Zhenhui Human-Computer Interaction Online Design Communities (ODCs) offer various artworks with members' comments for beginners to learn visual design. However, as identified by our Formative Study (N = 10), current ODCs lack features customized for personal learning purposes, e.g., searching artworks and digesting useful comments to learn design principles about buttons. In this paper, we present DesignLearner, a redesigned interface of ODCs to facilitate personalized visual design learning with comments structured based on UI components (e.g., button, text) and visual elements (e.g., color, contrast). In DesignLearner, learners can specify the UI components and visual elements that they wish to learn to filter artworks and associated comments. They can interactively read comments on an artwork, take notes, and get suggestions for the next artworks to explore. Our between-subjects study (N = 24) indicates that compared to a traditional ODC interface, DesignLearner can improve the user learning outcome and is deemed significantly more useful. We conclude with design considerations for customizing the interface of online communities to satisfy users' learning needs. |
| title | Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.09827 |