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How Should We Suggest Colors to Creators in the Metaverse?

Authors
Lee, J.Yang, J.Ha, C.
Issue Date
1-Jan-2022
Publisher
Springer Science and Business Media Deutschland GmbH
Keywords
Color suggestion; Design assistant; Metaverse; User interface
Citation
Communications in Computer and Information Science, v.1580 CCIS, pp.212 - 219
Journal Title
Communications in Computer and Information Science
Volume
1580 CCIS
Start Page
212
End Page
219
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30759
DOI
10.1007/978-3-031-06417-3_29
ISSN
1865-0929
Abstract
Through surveying experienced users of metaverse platforms, we discovered that one of the challenges users face is to color new items used in the metaverse. Assisting users with coloring can be considerably effective because many metaverse platforms provide coloring and mapping development figures as a major means of creation. This method is widely used for creating new items and does not require users’ proficiency in 3D modeling. Accordingly, we tried to lower the barrier of creation by developing the effective color suggestion method. Most of prior color suggestion studies focused on the algorithm [1–6] but the method is also an important aspect of color suggestion. Therefore, we designed comprehensive evaluation criteria by collecting users’ feedback. We suggest “Kind of information”, “Value of information”, “Novelty”, and “Relevance” as criteria for evaluating the color suggestion method. In the following experiment, participants colored a virtual item using two different color suggestion methods that had previously been utilized in previous experiments and without color suggestion. After the task, participants compared three different methods using Analytic Hierarchy Process (AHP) pair-wise comparison with criteria we designed. As a result of the experiment, users preferred to be offered colors that matches the product rather than to be offered only set of colors and preferred to be offered only set of colors rather than not being offered any colors. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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Engineering (Department of Industrial and Data Engineering)
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