Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics
Exploring the integration of Artificial Intelligence (AI) with Extended Reality (XR), this research addresses four critical questions: (R.Q.1) How can AI enhance the realism of virtual environments through dynamic texture and material generation? (R.Q.2) What methods can be developed for AI-driven a...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11126015/ |
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| _version_ | 1849223085531594752 |
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| author | A'Aeshah Alhakamy |
| author_facet | A'Aeshah Alhakamy |
| author_sort | A'Aeshah Alhakamy |
| collection | DOAJ |
| description | Exploring the integration of Artificial Intelligence (AI) with Extended Reality (XR), this research addresses four critical questions: (R.Q.1) How can AI enhance the realism of virtual environments through dynamic texture and material generation? (R.Q.2) What methods can be developed for AI-driven adaptive learning systems that adjust environment difficulty and content based on user performance? (R.Q.3) What are the best practices for training AI to achieve real-time object recognition, spatial mapping, and scene understanding in diverse environments? And (R.Q.4) How have the themes and focal areas within XR research evolved over time, and what are the predominant topics and trends as evidenced by bibliographic references and citations in scholarly reviews? A thorough literature review and systematic analysis confirm that AI significantly advances the fidelity and interactivity of XR environments. This research not only highlights how AI enriches user experience and procedural functioning in XR but also delves into the evolutionary trajectories in XR research, identifying major thematic trends and shifts over time. These findings underscore the complex interplay between technological advancements and thematic trends within the academic discourse on XR, advocating for consistent innovation and ethical considerations in the utilization of AI across various domains, including education, healthcare, and entertainment. |
| format | Article |
| id | doaj-art-1773422d4cc841cfaa8b60f7995d4c51 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-1773422d4cc841cfaa8b60f7995d4c512025-08-25T23:18:42ZengIEEEIEEE Access2169-35362025-01-011314482814485010.1109/ACCESS.2025.359933711126015Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality GraphicsA'Aeshah Alhakamy0https://orcid.org/0000-0002-0662-0185Department of Computer Science, Faculty of Computers and Information Technology, and Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, Saudi ArabiaExploring the integration of Artificial Intelligence (AI) with Extended Reality (XR), this research addresses four critical questions: (R.Q.1) How can AI enhance the realism of virtual environments through dynamic texture and material generation? (R.Q.2) What methods can be developed for AI-driven adaptive learning systems that adjust environment difficulty and content based on user performance? (R.Q.3) What are the best practices for training AI to achieve real-time object recognition, spatial mapping, and scene understanding in diverse environments? And (R.Q.4) How have the themes and focal areas within XR research evolved over time, and what are the predominant topics and trends as evidenced by bibliographic references and citations in scholarly reviews? A thorough literature review and systematic analysis confirm that AI significantly advances the fidelity and interactivity of XR environments. This research not only highlights how AI enriches user experience and procedural functioning in XR but also delves into the evolutionary trajectories in XR research, identifying major thematic trends and shifts over time. These findings underscore the complex interplay between technological advancements and thematic trends within the academic discourse on XR, advocating for consistent innovation and ethical considerations in the utilization of AI across various domains, including education, healthcare, and entertainment.https://ieeexplore.ieee.org/document/11126015/Extended realityartificial intelligencecomputer graphicsrealismspatial data |
| spellingShingle | A'Aeshah Alhakamy Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics IEEE Access Extended reality artificial intelligence computer graphics realism spatial data |
| title | Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics |
| title_full | Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics |
| title_fullStr | Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics |
| title_full_unstemmed | Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics |
| title_short | Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics |
| title_sort | intersecting realms examining the convergence of vision and ai in extended reality graphics |
| topic | Extended reality artificial intelligence computer graphics realism spatial data |
| url | https://ieeexplore.ieee.org/document/11126015/ |
| work_keys_str_mv | AT aaeshahalhakamy intersectingrealmsexaminingtheconvergenceofvisionandaiinextendedrealitygraphics |