Work

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

Year: 2025

Type: article

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.

Source: Proceedings of the ACM on Human-Computer Interaction

DOI: 10.1145/3757499

Authors: Xia Chen, Xinyue Chen, Weixian Hu, Haojia Zheng, Yujun Qian, Zhenhui Peng

Institution: Sun Yat-sen University

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Natural Science Foundation for Young Scientists of Shanxi Province