Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments

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.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757499
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.00
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article

Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments

Xia Chen, Yuyin Qian, Zhenhui Peng, Xiao‐Jiang Chen et al.
Proceedings of the ACM on Human-Computer Interaction
Knowledge Management and Sharing
article

Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured Comments

Xia Chen, Yuyin Qian, Zhenhui Peng, Xiao‐Jiang Chen, Hongwei Zheng, Weixian Hu
article en

Abstract

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.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Sun Yat-sen University (CN)
Openalex Percentile: Top 66%
Knowledge Management and Sharing
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