Emotional Preferences in Metaverse Library Interface: A Kansei Analysis

While metaverse technology continues to advance, catching user attention ultimately relies on the appealing qualities of its user interface (UI), making it essential to include emotional perception. A well-designed UI aligned with user preferences fosters user engagement and contributes to product s...

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Published in:Communications in Computer and Information Science
Main Author: Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210258733&doi=10.1007%2f978-981-97-9890-2_1&partnerID=40&md5=b7b24b600863bfd02da92268b5f12db4
id 2-s2.0-85210258733
spelling 2-s2.0-85210258733
Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
2024
Communications in Computer and Information Science
2313 CCIS

10.1007/978-981-97-9890-2_1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210258733&doi=10.1007%2f978-981-97-9890-2_1&partnerID=40&md5=b7b24b600863bfd02da92268b5f12db4
While metaverse technology continues to advance, catching user attention ultimately relies on the appealing qualities of its user interface (UI), making it essential to include emotional perception. A well-designed UI aligned with user preferences fosters user engagement and contributes to product success. However, creating a UI that prioritizes emotions remains an ongoing challenge. For that reason, this study attempts to explore the relationship between UI design factors and the user perception of the demand experience. This research utilizes Kansei Engineering (KE) method to investigate user preferences on the metaverse library UI and examine the correlation between emotional responses. A three-step methodology consisting of instrument, evaluation, and analysis was applied in this study. The evaluation utilized a total of 28 specimens and 60 Kansei Words (KWs). The data were analyzed using multivariate statistical analysis; Cronbach's Alpha, Principal Component Analysis (PCA) and Factor Analysis (FA) to identify the significant UI design for the metaverse library. The results of this research take the form of recommendations for UI design concepts based on the most dominant emotional factors. The data analysis results revealed that “radiance”, “orderliness”, and “conciseness” were the most significant emotional factors for the metaverse library application. Through the application of KE analysis, the emotionally demanding UI concepts within the metaverse library can be determined. This analysis provides valuable guidance for designing or redesigning the library interface, which in turn, contributes to an enhanced metaverse experience. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Springer Science and Business Media Deutschland GmbH
18650929
English
Conference paper

author Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
spellingShingle Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
author_facet Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
author_sort Ahmad N.A.N.; Lokman A.M.; Suhaimi A.I.H.; Abdullah M.
title Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
title_short Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
title_full Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
title_fullStr Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
title_full_unstemmed Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
title_sort Emotional Preferences in Metaverse Library Interface: A Kansei Analysis
publishDate 2024
container_title Communications in Computer and Information Science
container_volume 2313 CCIS
container_issue
doi_str_mv 10.1007/978-981-97-9890-2_1
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210258733&doi=10.1007%2f978-981-97-9890-2_1&partnerID=40&md5=b7b24b600863bfd02da92268b5f12db4
description While metaverse technology continues to advance, catching user attention ultimately relies on the appealing qualities of its user interface (UI), making it essential to include emotional perception. A well-designed UI aligned with user preferences fosters user engagement and contributes to product success. However, creating a UI that prioritizes emotions remains an ongoing challenge. For that reason, this study attempts to explore the relationship between UI design factors and the user perception of the demand experience. This research utilizes Kansei Engineering (KE) method to investigate user preferences on the metaverse library UI and examine the correlation between emotional responses. A three-step methodology consisting of instrument, evaluation, and analysis was applied in this study. The evaluation utilized a total of 28 specimens and 60 Kansei Words (KWs). The data were analyzed using multivariate statistical analysis; Cronbach's Alpha, Principal Component Analysis (PCA) and Factor Analysis (FA) to identify the significant UI design for the metaverse library. The results of this research take the form of recommendations for UI design concepts based on the most dominant emotional factors. The data analysis results revealed that “radiance”, “orderliness”, and “conciseness” were the most significant emotional factors for the metaverse library application. Through the application of KE analysis, the emotionally demanding UI concepts within the metaverse library can be determined. This analysis provides valuable guidance for designing or redesigning the library interface, which in turn, contributes to an enhanced metaverse experience. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 18650929
language English
format Conference paper
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