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LumiMood: A Creativity Support Tool for Designing the Mood of a 3D Scene

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Author(s)
Oh, JeongseokKim, SeungjuKim, SeungJun
Type
Conference Paper
Citation
2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Issued Date
2024-05-11
Abstract
The aesthetic design of 3D scenes in game content enhances players' experience by inducing desired emotions. Creating emotionally engaging scenes involves designing low-level features, such as color distribution, contrast, and brightness. This study presents LumiMood, an AI-driven creativity support tool (CST) that automatically adjusts lighting and post-processing to create moods for 3D scenes. LumiMood supports designers by synthesizing reference images, creating mood templates, and providing intermediate design steps. Our formative study with 10 designers identifed distinct challenges in mood design based on the participants' experience levels. A user study involving 40 designers revealed that using LumiMood benefts the designers by streamlining workfow, improving precision, and increasing mood intention accuracy. Results indicate that LumiMood supports clarifying mood concepts and improves interpretation of lighting and post-processing, thus resolving the challenges. We observe the efect of template based designing and discuss considerable factors for AI-driven CSTs for users with varying levels of experiences.
Publisher
Association for Computing Machinery
Conference Place
US
미국, 하와이
URI
https://scholar.gist.ac.kr/handle/local/20928
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