Título: | A CAPTURE AND ACCESS TECHNOLOGY TO SUPPORT DOCUMENTATION AND TRACKING OF QUALITATIVE RESEARCH APPLIED TO HCI | ||||||||||||
Autor: |
RAFAEL ROSSI DE MELLO BRANDAO |
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Colaborador(es): |
CLARISSE SIECKENIUS DE SOUZA - Orientador |
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Catalogação: | 24/FEV/2016 | Língua(s): | ENGLISH - UNITED STATES |
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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=25837&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25837&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.25837 | ||||||||||||
Resumo: | |||||||||||||
Tracking and exposure of qualitative methodology procedures is a problem observed in the scientific community. The traditional form of research publication makes it impractical to provide in detail all the decisions and evidences considered in the course of a qualitative research. To overcome this problem we propose an approach to structure all the procedures undertaken into hypermedia documents with analyses and validations, allowing its representation in a theoretical Capture e Access (C e A) model. This model enables the outlining of the research inquiry, providing semantics to allow relationship between key elements in a qualitative methodology. We discuss about five qualitative studies that guided the reasoning about the proposed model, pondering on how to register adequately the activities performed in HCI evaluations consolidating the collected data in documents used in posterior analysis sessions. Additionally, we present a proof of concept through an implementation using the C e A software infrastructure offered by the CAS
Project. This infrastructure supports the recording of empirical data (text, images, audio, video, and slides), data post-processing and the generation of multimedia documents. It is possible to use tags for temporal annotation, create contexts to link data and retrieve other relevant information from the captured investigation processes.
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