GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback

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GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback
Lee, Chunggi
Ko, Sungahn
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Graduate School of UNIST
Maintaining the high quality of mobile Graphic User Interfaces (GUIs) is essential to make a mobile application more useful for its users. For this reason, there are many mobile GUI prototyping tools. However, users may face challenges while designing graphic user interfaces, due to a lack of relevant skills, experience, and guidance. In particular, the users can often be overwhelmed in the first prototyping stage and it is hard to recognize mistakes for users in advance. These challenges can be significantly alleviated by supporting immediately feedback (e.g., recommendation and evaluation) while designing GUI. Due to absence of feedback, users still rely on their own ideas and intuition with mobile GUI prototyping tool that requires timeconsuming and error-prone design procedures. In this thesis, we aim at investigating what causes users to become frustrated during the design process, and how to resolve the issues. To achieve this goal, first, we conducted semistructured interviews with 16 users, to understand their challenges with an existing tool, and to identify features that can facilitate the design process. Second, based on the interview results, we built a GUI prototyping tool, called GUIComp that provides real-time multi-faceted feedback on a user’s current design, such as visual complexity scores, viewer’s attention heatmap, and recommended example designs. Third, we performed a between-user experiment, where 30 participants were asked to create mobile GUIs with either GUIComp or an existing design tool. Fourth, we asked 26 online workers to assess the designs produced in the experiment. The results indicate that GUIComp users produced more acceptable designs than the non-GUIComp users and designing with GUIComp results in a more enjoyable, satisfactory, and affordable user experience during the design process than that with the existing tool. We discuss how to design for multi-facted feedback while designing GUI to effectively interact human and AI and limitations of the study. The fundamental idea of this thesis is to go beyond traditional GUI prototyping to create more acceptable designs to general users using real-time multi-faceted feedback. The resulting systems establish a research framework where real-time multi-faceted feedback can alleviate the challenges while designing GUIs
Department of Computer Science and Engineering
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