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ATOM: Geometry-Aware Microgesture towards Object-Agnostic Tangible Interaction — arXiv:2608.11871

Source
arXiv (en)
Original
https://arxiv.org/abs/2608.11871
License (as archived)
CC0-1.0
Archived
2026-10-19T05:35:11.711Z
SHA-256 of the archived text
39d2a8b3d51802d81e89b3ebe5d3e7beb0964b275493a2beb46d692155c959df
Stable URL of this page
https://metraipolis.com/documento/dc_54fdbb4e7afe

How to cite

ATOM: Geometry-Aware Microgesture towards Object-Agnostic Tangible Interaction — arXiv:2608.11871 — arXiv (en), https://arxiv.org/abs/2608.11871 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_54fdbb4e7afe (Metraipolis archive dc_54fdbb4e7afe, sha256 39d2a8b3d51802d81e89b3ebe5d3e7beb0964b275493a2beb46d692155c959df)
BibTeX
@misc{dc54fdbb4e7afe,
  title = {ATOM: Geometry-Aware Microgesture towards Object-Agnostic Tangible Interaction — arXiv:2608.11871},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.11871},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_54fdbb4e7afe; sha256 39d2a8b3d51802d81e89b3ebe5d3e7beb0964b275493a2beb46d692155c959df},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.11871. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This paper presents ATOM, an integrated framework towards agnostic and tangible object interactions with microgestures. Our goal is to support microgesture interactions across different everyday objects, with the capability to automatically leverage the geometric affordance of each object. We formulate a fingertip-aware detection pipeline to leverage generative 2D and 3D models for geometry enhancement and refinement. We then introduce a usability-based method to prioritize the detected elements based on their ergonomic suitability for interactions. Building on this foundation, we further develop an AR system to transform everyday handheld objects into tangible user interfaces with 0D, 1D, and 2D microgesture interactions. Across transitions among everyday cooking objects of varying shapes and sizes, ATOM outperformed ablation baselines in task completion, usability (SUS), and workload (NASA-TLX). A further study with 10 objects demonstrates ATOM's generalizability across objects and grasps, highlighting its potential towards fluid, object-agnostic tangible interaction in real-world AR scenarios.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-13 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2608.11871 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T05:18:12.104Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-08-13?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).