Gu, R., Zhang, J., Miguel Rojas, J. et al. (1 more author) (2026) On the promises and challenges of AI-powered XR glasses as embodied software. In: 2025 2nd IEEE/ACM International Conference on AI-powered Software (AIware). 2nd ACM/IEEE International Conference on AI-powered Software (AIware 2025), 19-20 Nov 2025, Seoul, South Korea. Institute of Electrical and Electronics Engineers. ISBN: 9798331582708.
Abstract
AI-powered Extended Reality (XR) glasses represent the next frontier in software interface, integrating spatial computing with foundation models (FMs) to interact with physical environments in real-time. This technology promises a rich, immersive, and interactive user experience with seamless integration in real-world scenarios, while simultaneously introducing unprecedented challenges at the intersection of AI and Software Engineering (SE). This vision paper aims to catalyse the development of robust spatial software by characterising XR glasses as a distinct software paradigm through a conceptual framework and defining its advanced capabilities. We identify critical research problems, including security and privacy, validation of spatial capabilities, and explainability, while highlighting broader societal implications spanning ethics, accessibility, inclusivity, and open development ecosystems. Finally, we outline pathways for developing reliable and trustworthy XR systems in the FM era.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a proceedings paper published in 2025 2nd IEEE/ACM International Conference on AI-powered Software (AIware) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | AI-powered XR glasses; embodied AI; extended reality; human-AI collaboration; security and privacy; spatial intelligence |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/Y014219/1 |
| Date Deposited: | 05 Nov 2025 16:29 |
| Last Modified: | 02 Feb 2026 16:04 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Refereed: | Yes |
| Identification Number: | 10.1109/AIware69974.2025.00030 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233948 |
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Filename: AIware_2025.pdf
Licence: CC-BY 4.0

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