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

要旨

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.

著者
Rong-Hao Liang
Eindhoven University of Technology, Eindhoven, Netherlands
Zengrong Guo
Eindhoven University of Technology, Eindhoven, Netherlands
DOI

10.1145/3411764.3445214

論文URL

https://doi.org/10.1145/3411764.3445214

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Wearables, Tangibles, and Fabrics

[C] Paper Room 10, 2021-05-11 09:00:00~2021-05-11 11:00:00 / [A] Paper Room 10, 2021-05-10 17:00:00~2021-05-10 19:00:00 / [B] Paper Room 10, 2021-05-11 01:00:00~2021-05-11 03:00:00
Paper Room 10
14 件の発表
2021-05-11 09:00:00
2021-05-11 11:00:00
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