Título: | THE USE OF LIVE STREAMS TO SHARE KNOWLEDGE: A DIAGNOSIS BASED ON THE EMBRAPA DAIRY CATTLE EXPERIENCE | ||||||||||||
Autor: |
LEONARDO MARIANO GRAVINA FONSECA |
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Colaborador(es): |
SIMONE DINIZ JUNQUEIRA BARBOSA - Orientador |
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Catalogação: | 27/ABR/2021 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=52414&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=52414&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.52414 | ||||||||||||
Resumo: | |||||||||||||
Several studies indicate that live stream is an emerging research topic
in Human-Computer Interaction. A specific type of these broadcasts is the
knowledge sharing live stream (KSLS). The Embrapa Dairy Cattle, a decentralized
unit of Embrapa (Brazilian Agricultural Research Corporation),
uses KSLSs to disseminate its research results. In this work, we present a
diagnosis about the use of live streams to share knowledge based on the Embrapa
Dairy Cattle experience. We propose to evaluate how adequate it is
to use live streams to share knowledge, present viewers behaviors and preferences,
and identify opportunities for improvement in this tool s features.
For this, we monitored nine KSLSs carried out by the company, applied
an online survey, and conducted interviews with part of the public who
participated in the broadcasts. Also, we analyzed access statistics and chat
logs. Our results indicate that live stream is an adequate tool for sharing
knowledge and the public is interested in interaction mechanisms in addition
to comments in the chat, which is the feature currently available on
the streaming platform used in this work. In this way, we present lessons
learned about viewers preferences and behaviors and opportunities for improvement
in KSLSs dynamics and features, allowing technical content to
be transferred through richer interactions.
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