Bootlegger: Turning Fans into Film Crew
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 212518-119366-1292
- Type
- E - Conference contribution
- DOI
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10.1145/2702123.2702229
- Title of conference / published proceedings
- CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
- First page
- 767
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1145/2702123.2702229
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
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C - Open Lab
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Bootlegger is a first of a kind technical system which supports crowd-based direction and collection of live event capture using people’s own mobile video devices (their own mobile phones). The system formed a core component of the participatory media / community journalism work conducted on later grants such as DERC (EP/M023001/1) and was integral to that award. The technology was successfully trialled at a number of mass public events, and has been used in contexts as wide as education, neighbourhood planning and community consultation projects such as MetroFutures. It led to two further publications https://doi.org/10.1145/3025453.3025745 and https://doi.org/10.1145/2858036.2858102
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -