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Content Provider | ACM Digital Library |
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Author | Gallacher, Sarah Marquardt, Nicolai Johnson, Rose Golsteijn, Connie Bakker, Saskia Rogers, Yvonne Houben, Steven Capra, Licia |
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. |
Starting Page | 1608 |
Ending Page | 1619 |
Page Count | 12 |
File Format | |
ISBN | 9781450333627 |
DOI | 10.1145/2858036.2858059 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-05-07 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Internet of things (iot) Human-data design Physical visualization Ambient display End-user programming |
Content Type | Text |
Resource Type | Article |
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