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Physikit: Data Engagement Through Physical Ambient Visualizations in the Home

Houben, S; Golsteijn, C; Gallacher, S; Johnson, R; Bakker, S; Marquardt, N; Capra, L; (2016) Physikit: Data Engagement Through Physical Ambient Visualizations in the Home. In: Kaye, J and Druin, A and Lampe, C and Morris, D and Hourcade, JP, (eds.) CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. (pp. pp. 1608-1619). Association for Computing Machinery (ACM): New York. Green open access

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Abstract

Internet of things (IoT) devices and sensor kits have the potential to democratize the access, use, and appropriation of data. Despite the increased availability of low cost sensors, most of the produced data is "black box" in nature: users often do not know how to access or interpret data. We propose a "human-data design" approach in which end-users are given tools to create, share, and use data through tangible and physical visualizations. This paper introduces Physikit, a system designed to allow users to explore and engage with environmental data through physical ambient visualizations. We report on the design and implementation of Physikit, and present a two-week field study which showed that participants got an increased sense of the meaning of data, embellished and appropriated the basic visualizations to make them blend into their homes, and used the visualizations as a probe for community engagement and social behavior.

Type: Proceedings paper
Title: Physikit: Data Engagement Through Physical Ambient Visualizations in the Home
Event: CHI Conference on Human Factors in Computing Systems, 7-12 May 2016, San Jose, California, USA
ISBN-13: 9781450333627
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2858036.2858059
Publisher version: http://dx.doi.org/10.1145/2858036.2858059
Language: English
Additional information: Copyright © 2016 Association for Computing Machinery, Inc. (ACM).
Keywords: Physical Visualization; Ambient Display; End-User Programming; Human-Data design; Internet of Things (IoT)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1474158
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