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Deb8 : a tool for collaborative analysis of video

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tvx19a_sub1032_i8.pdf (2.622Mb)
Date
04/06/2019
Author
Carneiro, Guilherme
Nacenta, Miguel
Toniolo, Alice
Mendez, Gonzalo
Quigley, Aaron John
Keywords
Video analysis
Evidence linking
Collaborative debate analysis
Argumentation
QA75 Electronic computers. Computer science
T Technology
NDAS
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Abstract
Public, parliamentary and television debates are commonplace in modern democracies. However, developing an understanding and communicating with others is often limited to passive viewing or, at best, textual discussion on social media. To address this, we present the design and implementation of Deb8, a tool that allows collaborative analysis of video-based TV debates. The tool provides a novel UI designed to enable and capture rich synchronous collaborative discussion of videos based on argumentation graphs that link quotes of the video, opinions, questions, and external evidence. Deb8 supports the creation of rich idea structures based on argumentation theory as well as collaborative tagging of the relevance, support and trustworthiness of the different elements. We evaluated the design of the tool in a study of three groups of three people. We present the results of the study and a reflection on the challenges involved.
Citation
Carneiro , G , Nacenta , M , Toniolo , A , Mendez , G & Quigley , A J 2019 , Deb8 : a tool for collaborative analysis of video . in Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19) . ACM , pp. 47-58 , ACM TVX 2019 , Manchester , United Kingdom , 5/06/19 . https://doi.org/10.1145/3317697.3323358
 
conference
 
Publication
Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19)
DOI
https://doi.org/10.1145/3317697.3323358
Type
Conference item
Rights
© 2019, the Owners/Author(s). Publication rights licensed to ACM. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3317697.3323358
Description
Funding: This research is supported by the Brazilian National Council of Technological and Scientific Development (CNPq) and the National Research Foundation, Prime Minister’s Office, Singapore under its International Research Centres in Singapore Funding Initiative.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17912

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