Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application

The emergence of the metaverse, marked by the seamless integration of augmented reality (AR) applications across various sectors is driving a profound transformation in the digital landscape. As we delve into the digital realm of the metaverse, just like other applications, it unfolds as an equally...

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Published in:International Journal of Advanced Computer Science and Applications
Main Author: Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
Format: Article
Language:English
Published: Science and Information Organization 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195030714&doi=10.14569%2fIJACSA.2024.0150527&partnerID=40&md5=67acae810261bc26589f58ec9a57f346
id 2-s2.0-85195030714
spelling 2-s2.0-85195030714
Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
2024
International Journal of Advanced Computer Science and Applications
15
5
10.14569/IJACSA.2024.0150527
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195030714&doi=10.14569%2fIJACSA.2024.0150527&partnerID=40&md5=67acae810261bc26589f58ec9a57f346
The emergence of the metaverse, marked by the seamless integration of augmented reality (AR) applications across various sectors is driving a profound transformation in the digital landscape. As we delve into the digital realm of the metaverse, just like other applications, it unfolds as an equally captivating canvas for emotional exploration, where a comprehensive understanding of human emotion for better user experience (UX) is vital. Although the efforts to investigate emotions within the metaverse are in progress, however there is a notable absence of extensive research that examines the user’s emotional experiences which incorporates a tailored set of keywords specifically for designing user interface (UI) products within this context, resulting in a substantial void in this particular domain. Therefore, the objective of this research is to synthesise and validate an extensive array of emotive keywords explicitly tailored for AR-based Mobile Library Application (MLA) design. This endeavor involves an exhaustive review of literature and a rigorous validation process, encompassing input from both linguistic and technical experts in the field. The result is an explicit collection of sixty emotive keywords that will significantly contribute to the metaverse realm by adding a layer of emotional depth to enrich the AR-based MLA experience. These findings offer valuable guidance for practitioners and researchers, advancing the landscape of MLA interface design and ultimately boosting UX in the educational sector. © (2024), (Science and Information Organization). All Rights Reserved.
Science and Information Organization
2158107X
English
Article
All Open Access; Gold Open Access
author Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
spellingShingle Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
author_facet Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
author_sort Ahmad N.A.N.; Abdullah M.; Suhaimi A.I.H.; Lokman A.M.
title Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
title_short Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
title_full Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
title_fullStr Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
title_full_unstemmed Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
title_sort Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application
publishDate 2024
container_title International Journal of Advanced Computer Science and Applications
container_volume 15
container_issue 5
doi_str_mv 10.14569/IJACSA.2024.0150527
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195030714&doi=10.14569%2fIJACSA.2024.0150527&partnerID=40&md5=67acae810261bc26589f58ec9a57f346
description The emergence of the metaverse, marked by the seamless integration of augmented reality (AR) applications across various sectors is driving a profound transformation in the digital landscape. As we delve into the digital realm of the metaverse, just like other applications, it unfolds as an equally captivating canvas for emotional exploration, where a comprehensive understanding of human emotion for better user experience (UX) is vital. Although the efforts to investigate emotions within the metaverse are in progress, however there is a notable absence of extensive research that examines the user’s emotional experiences which incorporates a tailored set of keywords specifically for designing user interface (UI) products within this context, resulting in a substantial void in this particular domain. Therefore, the objective of this research is to synthesise and validate an extensive array of emotive keywords explicitly tailored for AR-based Mobile Library Application (MLA) design. This endeavor involves an exhaustive review of literature and a rigorous validation process, encompassing input from both linguistic and technical experts in the field. The result is an explicit collection of sixty emotive keywords that will significantly contribute to the metaverse realm by adding a layer of emotional depth to enrich the AR-based MLA experience. These findings offer valuable guidance for practitioners and researchers, advancing the landscape of MLA interface design and ultimately boosting UX in the educational sector. © (2024), (Science and Information Organization). All Rights Reserved.
publisher Science and Information Organization
issn 2158107X
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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