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Hauptverfasser: Gao, Mengfei, Appert, Caroline, David, Ludovic, Pietriga, Emmanuel
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2603.07586
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author Gao, Mengfei
Appert, Caroline
David, Ludovic
Pietriga, Emmanuel
author_facet Gao, Mengfei
Appert, Caroline
David, Ludovic
Pietriga, Emmanuel
contents Browsing the Web on mobile devices is often cumbersome due to their limited screen space. We investigate a phone+AR Web browsing approach, AiRWeb, that leverages the structural properties of Web pages to allow users to seamlessly select and offload arbitrary Web content into the space surrounding them. Focusing on flexibility, AiRWeb lets users decide what to offload, when to do so, and how offloaded content is arranged, enabling personalized organization tailored to the task at hand. We developed a fully functional prototype using standard Web technologies, that covers the complete interaction workflow, from the selection of elements to offload from the phone to their manipulation in the air. Results from a preliminary study conducted using this prototype suggest that AiRWeb is learnable and usable, while also revealing open design challenges around offload mode activation in particular.
format Preprint
id arxiv_https___arxiv_org_abs_2603_07586
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle AiRWeb: Using AR to Extend Web Browsing Beyond Handheld Screens
Gao, Mengfei
Appert, Caroline
David, Ludovic
Pietriga, Emmanuel
Human-Computer Interaction
H.5.2
Browsing the Web on mobile devices is often cumbersome due to their limited screen space. We investigate a phone+AR Web browsing approach, AiRWeb, that leverages the structural properties of Web pages to allow users to seamlessly select and offload arbitrary Web content into the space surrounding them. Focusing on flexibility, AiRWeb lets users decide what to offload, when to do so, and how offloaded content is arranged, enabling personalized organization tailored to the task at hand. We developed a fully functional prototype using standard Web technologies, that covers the complete interaction workflow, from the selection of elements to offload from the phone to their manipulation in the air. Results from a preliminary study conducted using this prototype suggest that AiRWeb is learnable and usable, while also revealing open design challenges around offload mode activation in particular.
title AiRWeb: Using AR to Extend Web Browsing Beyond Handheld Screens
topic Human-Computer Interaction
H.5.2
url https://arxiv.org/abs/2603.07586