Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display

Fuente: arXiv
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Main Authors: Yang, Seungwon, Yoon, Suwon, Choi, Jeongwon, Hwang, Inseok
Format: Preprint
Published: 2025
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author Yang, Seungwon
Yoon, Suwon
Choi, Jeongwon
Hwang, Inseok
author_facet Yang, Seungwon
Yoon, Suwon
Choi, Jeongwon
Hwang, Inseok
contents Augmented reality (AR) is often realized through head-mounted displays, offering immersive but egocentric experiences. While smartphone-based AR is more accessible, it remains limited to handheld, single-user interaction. We introduce Chameleon, a prototype AR system that transforms smartphones into surface-anchored displays for co-located use. When placed flat, the phone creates a transparency illusion and anchors digital content visible to multiple users. Chameleon supports natural repositioning on the surface without external hardware by combining two techniques: (1) Background Acquisition uses opportunistic sensing and language model-assisted pattern generation to blend with surrounding surfaces, and (2) Real-Time Position Tracking augments inertial sensing to maintain spatial stability. This work shows how lightweight sensing can support casual, collaborative AR experiences using existing devices.
format Preprint
id arxiv_https___arxiv_org_abs_2509_14643
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display
Yang, Seungwon
Yoon, Suwon
Choi, Jeongwon
Hwang, Inseok
Human-Computer Interaction
Augmented reality (AR) is often realized through head-mounted displays, offering immersive but egocentric experiences. While smartphone-based AR is more accessible, it remains limited to handheld, single-user interaction. We introduce Chameleon, a prototype AR system that transforms smartphones into surface-anchored displays for co-located use. When placed flat, the phone creates a transparency illusion and anchors digital content visible to multiple users. Chameleon supports natural repositioning on the surface without external hardware by combining two techniques: (1) Background Acquisition uses opportunistic sensing and language model-assisted pattern generation to blend with surrounding surfaces, and (2) Real-Time Position Tracking augments inertial sensing to maintain spatial stability. This work shows how lightweight sensing can support casual, collaborative AR experiences using existing devices.
title Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display
topic Human-Computer Interaction
url https://arxiv.org/abs/2509.14643