Rights statement: © ACM, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858059
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Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Physikit
T2 - data engagement through physical ambient visualizations in the home
AU - Houben, Steven
AU - Golsteijn, Connie
AU - Gallacher, Sarah
AU - Johnson, Rose
AU - Bakker, Saskia
AU - Marquardt, Nicolai
AU - Capra, Licia
AU - Rogers, Yvonne
N1 - © ACM, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858059
PY - 2016/5/7
Y1 - 2016/5/7
N2 - Internet of things (IoT) devices and sensor kits have the po-tential 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 of-ten 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 phys-ical visualizations. This paper introduces Physikit, a system designed to allow users to explore and engage with environ-mental data through physical ambient visualizations. We re-port on the design and implementation of Physikit, and pre-sent 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.
AB - Internet of things (IoT) devices and sensor kits have the po-tential 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 of-ten 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 phys-ical visualizations. This paper introduces Physikit, a system designed to allow users to explore and engage with environ-mental data through physical ambient visualizations. We re-port on the design and implementation of Physikit, and pre-sent 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.
KW - ambient display
KW - end-user programming
KW - human-data design
KW - internet of things (IoT)
KW - physical visualization
U2 - 10.1145/2858036.2858059
DO - 10.1145/2858036.2858059
M3 - Conference contribution/Paper
SN - 9781450333627
T3 - Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
SP - 1608
EP - 1619
BT - CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems Pages 1608-1619
PB - ACM
CY - New York
ER -