Physikit : data engagement through physical ambient visualizations in the home
- Submitting institution
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The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 156626057
- Type
- E - Conference contribution
- DOI
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10.1145/2858036.2858059
- Title of conference / published proceedings
- CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems Pages 1608-1619
- First page
- 1608
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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7
- Research group(s)
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E - Interactive Systems
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This well-cited paper describes a novel approach to visualising complex urban IoT data to non-expert users. This work is published in the ACM CHI proceedings - the top publication venue for HCI research – and received a ‘best paper honorable mention’ (top 5%). The project was funded by Intel Labs and was done in collaboration with UCL, TUE, and Smart Citizen kit. This work has been presented in more than 10 invited industry/academic talks and keynotes (Microsoft, Intel Labs, Samsung, Google,…) and is the ‘exemplar’ for in-the-wild research in the new ‘Research in the wild” book by Prof. Yvonne Rogers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
