Concannon, Shauna, Rajan, Natasha, Shah, Parthiv et al. (3 more authors) (2020) Brooke Leave Home:Designing a Personalized Film to Support Public Engagement with Open Data. In: Proceedings of the ACM CHI 2020 Conference on Human Factors in Computing Systems. ACM CHI 2020 Conference on Human Factors in Computing Systems, 25-30 Apr 2020, Honolulu. CHI conference proceedings . ACM , USA , pp. 1-14.
Abstract
Brooke Leave Home is a personalized film designed to engage a non-expert audience with open data about the support young adults receive when leaving the care system in England. The film draws upon a range of video-based data storytelling techniques to present each viewer with a personalized perspective on the topic based on data from their own local area. We present the film's design and describe how its storytelling techniques were developed to support viewers in understanding, and fostering empathic connections with, the data sources featured and the implications they have for care leavers. We also present a study with 47 viewers, which explores how these techniques were experienced and how effective they were in aiding engagement with the data included and its meaning.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Authors. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Theatre, Film, TV and Interactive Media (York) |
Funding Information: | Funder Grant number EPSRC EP/M023265/1 EPSRC EP/R010919/1 |
Depositing User: | Pure (York) |
Date Deposited: | 08 Jan 2020 09:40 |
Last Modified: | 23 Jan 2025 00:40 |
Published Version: | https://doi.org/10.1145/3313831.3376462 |
Status: | Published |
Publisher: | ACM |
Series Name: | CHI conference proceedings |
Identification Number: | 10.1145/3313831.3376462 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155385 |
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