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IoT Stickers: Enabling Lightweight Modification of Everyday Objects

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Kristin WilliamsAuthors Info & Claims

UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

Pages 183 - 188

https://doi.org/10.1145/3379350.3415807

Published: 20 October 2020 Publication History

Abstract

Internet-of-Things (IoT) devices promise to enhance even the most mundane of objects with computational properties by seamlessly coupling the virtual world to the physical. However, IoT's associated costs and cumbersome setup limits its extension to many everyday tasks and objects, such as those in the home. To address these issues, my dissertation work will enable IoT Stickers'a book of inexpensive, battery-free sensors and composition patterns'to support customizing everyday objects with software and web services using stickers. Using RFID-based paper mechanisms, IoT Stickers integrates common sensors and web services with interactive stickers through a trigger-action architecture. This integration enables computational services to be tailored to everyday activities by setting parameters to be passed to the sticker's actions and composing the stickers together. Thus, IoT Stickers demonstrates a way to associate IoT services with a dramatically wider set of objects and tasks.

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Cited By

Stawarz KKatz DAyobi AMarshall PYamagata TSantos-Rodriguez RFlach PO’Kane A(2023)Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-makingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103003173:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103003
Scheirer CHarrison C(2022)DynaTags: Low-Cost Fiducial Marker MechanismsProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556591(432-443)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3536221.3556591

Index Terms

IoT Stickers: Enabling Lightweight Modification of Everyday Objects
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
    2. Interactive systems and tools
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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Published In

cover image ACM Conferences

UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

October 2020

203 pages

ISBN:9781450375153

DOI:10.1145/3379350

General Chairs:
Shamsi Iqbal
Microsoft Research, USA
,
Karon MacLean
University of British Columbia, Canada
,
Program Chairs:
Fanny Chevalier
University of Toronto, Canada
,
Stefanie Mueller
MIT CSAIL, USA

Copyright © 2020 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2020

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National Science Foundation

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UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology

October 20 - 23, 2020

Virtual Event, USA

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Overall Acceptance Rate 355 of 1,733 submissions, 20%

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The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

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Cited By

Stawarz KKatz DAyobi AMarshall PYamagata TSantos-Rodriguez RFlach PO’Kane A(2023)Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-makingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103003173:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103003
Scheirer CHarrison C(2022)DynaTags: Low-Cost Fiducial Marker MechanismsProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556591(432-443)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3536221.3556591

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