Home > Research > Publications & Outputs > Physikit

Electronic data

  • Physikit-CHI2016

    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

    Accepted author manuscript, 4.32 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Physikit: data engagement through physical ambient visualizations in the home

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
  • Steven Houben
  • Connie Golsteijn
  • Sarah Gallacher
  • Rose Johnson
  • Saskia Bakker
  • Nicolai Marquardt
  • Licia Capra
  • Yvonne Rogers
Close
NullPointerException

Abstract

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.

Bibliographic note

© 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