NFCSense: Data-Defined Rich-ID Motion Sensing for Fluent Tangible Interaction Using a Commodity NFC Reader

J. (Rong-Hao) Liang, Zengrong Guo

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

9 Citaten (Scopus)

Samenvatting

This paper presents NFCSense, a data-defined rich-ID motion sensing technique for fluent tangible interaction design by using commodity near-field communication (NFC) tags and a single NFC tag reader. An NFC reader can reliably recognize the presence of an NFC tag at a high read rate (∼ 300 reads/s) with low latency, but such high-speed reading has rarely been exploited because the reader may not effectively resolve collisions of multiple tags. Therefore, its human–computer interface applications have been typically limited to a discrete, hands-on interaction style using one tag at a time. In this work, we realized fluent, hands-off, and multi-tag tangible interactions by leveraging gravity and anti-collision physical constraints, which support effortless user input and maximize throughput. Furthermore, our system provides hot-swappable interactivity that enables smooth transitions throughout extended use. Based on the design parameters explored through a series of studies, we present a design space with proof-of-concept implementations in various applications.
Originele taal-2Engels
TitelCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
SubtitelMaking Waves, Combining Strengths
UitgeverijAssociation for Computing Machinery, Inc
Pagina's1–14
Aantal pagina's14
ISBN van elektronische versie978-1-4503-8096-6
DOI's
StatusGepubliceerd - 6 mei 2021
Evenement2021 CHI Conference on Human Factors in Computing Systems, CHI 2021 - Virtual, Online, Yokohama, Japan
Duur: 8 mei 202113 mei 2021
https://chi2021.acm.org/

Congres

Congres2021 CHI Conference on Human Factors in Computing Systems, CHI 2021
Verkorte titelCHI 2021
Land/RegioJapan
StadYokohama
Periode8/05/2113/05/21
Internet adres

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