aiqbench analysis
This arXiv position paper, drawn from a UbiComp/ISWC 2026 industry panel, argues that large language models will become more useful when embedded in wearable, body-worn devices that act on a user's behalf. It is a perspective piece rather than an empirical study, so its claims about the future of personal AI are assertions to be tested. Readers should watch for the concrete research and engineering problems it identifies, such as privacy, user control, and on-body sensing.
OnBodyAI - Why the Next AI Needs a Body
arXiv:2610.21137v1 Announce Type: cross Abstract: The next AI will not win by knowing more about the world. It will win because it knows you: because it lives on your body, works for you and answers to you. That is what the term OnBodyAI stands for. It describes what happens when large language models are given a body, and what research and industry need to make that happen. This article is based on my talk in the Industrial Panel at UbiComp/ISWC 2026 in Shanghai (October 13, 2026) and follows its ten key statements.
Abstract:The next AI will not win by knowing more about the world. It will win because it knows you: because it lives on your body, works for you and answers to you. That is what the term OnBodyAI stands for. It describes what happens when large language models are given a body, and what research and industry need to make that happen. This article is based on my talk in the Industrial Panel at UbiComp/ISWC 2026 in Shanghai (October 13, 2026) and follows its ten key statements.
Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); General Literature (cs.GL)
arXiv:2610.21137 [cs.HC]
(or arXiv:2610.21137v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2610.21137 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 187 words
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