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ETDs @PUC-Rio
Estatística
Título: EXTENDING MOLIC TO SUPPORT THE DESIGN OF COLLABORATIVE SYSTEMS
Autor: LUIZ GUSTAVO DE SOUZA
Colaborador(es): SIMONE DINIZ JUNQUEIRA BARBOSA - Orientador
Catalogação: 11/FEV/2016 Língua(s): PORTUGUESE - BRAZIL
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.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25746&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25746&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.25746
Resumo:
The field of Computer-Supported Cooperative Work focuses on the understanding of collaborative systems and methodologies for the design and development of such systems. The 3C Collaboration Model divides the collaboration process into communication, coordination and cooperation. Regarding Human-Computer Interaction, different interaction models aim to support designers in the user and system interaction design. Semiotic Engineering views the design and use of technology as communication processes. It contributes with interaction design models, such as MoLIC, a language that supports the design of the interaction between the user and the designer s deputy (the user interface). The original MoLIC language provides no support for collaborative systems design, raising the need for a study that considers these limitations, addressing questions in order to understand the interaction design of collaborative systems based on the 3C Model using MoLIC. The present work presents a review on MoLIC focusing collaborative systems, presenting the extension MoLICC, whose effectiveness for collaborative systems design we evaluated by conducting an empirical study with users and analyzing the language using the Cognitive Dimensions of Notations framework.
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