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  • 标题:Escala de Usabilidade do Sistema Baseada na Lógica Paraconsistente Anotada Evidencial ET
  • 本地全文:下载
  • 作者:Luiz Roberto Foran ; Jair Minoro Abe ; Samira Sestari do Nascimento
  • 期刊名称:Research, Society and Development
  • 电子版ISSN:2525-3409
  • 出版年度:2021
  • 卷号:10
  • 期号:8
  • 页码:1-11
  • DOI:10.33448/rsd-v10i8.17617
  • 语种:English
  • 出版社:Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
  • 摘要:The evaluation of the user experience using a software directly affects its quality. The System Usability Scale measures the end user's experience with the system, which presents contradictory issues. The objective of this article is to demonstrate a deepening of those contradictions, using the Evidential Annotated Paraconsistent Logic Eτ, with the application of a survey for eleven professionals who evaluated a system. A comparison of the results of the above scale was performed with the Para-analyzer algorithm, using the pair (μ, λ), assigning the even questions to μ and the odd questions to λ. The first result showed a positive assessment of usability, with the System Usability Scale (76.59). The second result, performed with the Para-analyzer, presented the global average (0.75, 0.25), which indicates a similarity with the first, highlighting two contradictory items. The evaluation improved the usability analysis, as respondents agreed on nine usability characteristics. However, there was a divergence in one item, as five respondents rated two questions with high values, presenting a contradiction in the assessment. This result may show a perception failure in the instrument's semantics, which could indicate a need for training of participants before the beginning of the process. The main contribution of this research was to evaluate the usability of a software in conjunction with the Para-analyzer, enabling a more detailed analysis, as it works with the pair (μ, λ), being possible to evaluate the results in two dimensions.
  • 关键词:System Usability Scale;Paraconsistent Logic Annotated Eτ;Contradiction;Two-dimension analysis.
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