Poster: An Exploration Into Tracking the Use of Consumer Goods with RFID
Pages 165 - 168
Abstract
Smart consumer goods have the potential to positively impact consumers by providing support in areas of great concern, such as helping to reduce waste and promote healthy eating, so tracking their use is essential for the development of their enhanced versions. To explore how we could track the use of these products, we tested a prototype of a radio-frequency identification system (RFID) that detects interactions by recording obstructions to the signals of sensors attached to consumer goods. We tested the system using items associated with the preparation of a cup of tea. Our system was highly reliable in detecting interactions; however, it was imprecise in estimating their durations. We discuss how further development of the proposed RFID system, including improvements in the collection and classification of the signal, could lead to be a viable method for tracking the use of consumer goods and help incorporate a layer of ‘smartness’.
References
[1]
K Pal Amutha, Chidambaram Sethukkarasi, and Raja Pitchiah. 2012. Smart kitchen cabinet for aware home. In SMART 2012, The First International Conference on Smart Systems, Devices and Technologies. 9–14.
[2]
Gülben Çaliş, Burcin Becerik-Gerber, Ahmet Burak Göktepe, LI Shuai, and LI Nan. 2013. Analysis of the variability of RSSI values for active RFID-based indoor applications.Turkish Journal of Engineering & Environmental Sciences 37, 2(2013).
[3]
Pei-Yu Peggy Chi, Jen-Hao Chen, Hao-Hua Chu, and Jin-Ling Lo. 2008. Enabling calorie-aware cooking in a smart kitchen. In International conference on persuasive technology. Springer, 116–127.
[4]
McKinsey & Company. 2018. Consumer Packaged Goods. The new model for consumer goods. McKinsey & Company.
[5]
Martin de Jode, Ralph Barthel, Jon Rogers, Angelina Karpovich, Andrew Hudson-Smith, Michael Quigley, and Chris Speed. 2012. Enhancing the’second-hand’retail experience with digital object memories. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. ACM, 451–460.
[6]
Carolina Fuentes, Martin Porcheron, Joel E. Fischer, Enrico Costanza, Obaid Malilk, and Sarvapali D. Ramchurn. 2019. Tracking the Consumption of Home Essentials. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems(CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3290605.3300869
[7]
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He. 2018. Detecting and recognizing human-object interactions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 8359–8367.
[8]
Kari Kuutti and Liam J. Bannon. 2014. The turn to practice in HCI: towards a research agenda. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 3543–3552.
[9]
Jonathan Law (Ed.). 2016. A Dictionary of Business and Management. Oxford University Press. https://doi.org/10.1093/acref/9780199684984.001.0001
[10]
Justina Lydekaityte. 2019. Smart Interactive Packaging as a Cyber-Physical Agent in the Interaction Design Theory: A Novel User Interface. In IFIP Conference on Human-Computer Interaction. Springer International Publishing, Cham, Switzerland, 687–695. https://doi.org/10.1007/978-3-030-29381-9_41
[11]
Justina Lydekaityte and Torben Tambo. 2020-08-07. Smart packaging: definitions, models and packaging as an intermediator between digital and physical product management. The International Review of Retail, Distribution and Consumer Research 30(2020-08-07). https://doi.org/10.1080/09593969.2020.1724555
[12]
Alison McKay and Saikat Kundu. 2014. A representation scheme for digital product service system definitions. Advanced Engineering Informatics 28, 4 (2014), 479 – 498. https://doi.org/10.1016/j.aei.2014.07.004
[13]
Ahmad Mumani and Richard Stone. 2018. State of the art of user packaging interaction (UPI). Packaging Technology and Science 31, 6 (2018), 401–419. https://doi.org/10.1002/pts.2363
[14]
Japan. The Ministry of Economy Trade and Industry. 2017. Declaration of Plan to Introduce 100 Billion Electronic Tags for Products in Convenience Stores Formulated. https://www.meti.go.jp/english/press/2017/0418_003.html
[15]
Kaisa Vehmas, Stylianos Georgoulas, Srdjan Krco, Liisa Hakola, I. Larizgoitia Abad, and Nenad Gligoric. 2018. A Smart Tags Driven Service Platform for Enabling Ecosystems of Connected Objects. In Cognitive Hyperconnected Digital Transformation Internet of Things Intelligence Evolution. River Publishers, Gistrup, Denmark.
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Published In
November 2021
233 pages
ISBN:9781450385664
DOI:10.1145/3494322
Copyright © 2021 ACM.
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Published: 08 March 2022
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IoT '21
IoT '21: 11th International Conference on the Internet of Things
November 8 - 12, 2021
St.Gallen, Switzerland
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