diff --git a/artigo.aux b/artigo.aux index b53154a..8a01dc6 100644 --- a/artigo.aux +++ b/artigo.aux @@ -13,7 +13,6 @@ \@writefile{toc}{\contentsline {section}{\numberline {I}Introdução}{1}{}\protected@file@percent } \citation{Picolo2024ChatbotPrevencao} \citation{Preece2013} -\citation{Preece2013} \citation{Barbosa2021} \citation{ISO9241-210} \citation{Arnold2009} @@ -38,11 +37,11 @@ \citation{jackson2002} \citation{Camargo2013} \citation{Camargo2013} +\citation{Martins2020} \@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-C}}Technology Acceptance Model}{3}{}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-D}}Experiência de fluxo}{3}{}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-E}}Articulação entre usabilidade, aceitação e fluxo}{3}{}\protected@file@percent } \@writefile{toc}{\contentsline {subsection}{\numberline {\mbox {II-F}}Análise lexical de dados textuais}{3}{}\protected@file@percent } -\citation{Martins2020} \citation{carvalho2024} \citation{Holmes2019} \citation{LeBonniec2025} @@ -105,9 +104,9 @@ \@writefile{toc}{\contentsline {subsubsection}{\numberline {\mbox {VI-B}3}\textbf {Análise Fatorial de Correspondência}}{9}{}\protected@file@percent } \@writefile{lof}{\contentsline {figure}{\numberline {7}{\ignorespaces Análise Fatorial de Correspondência}}{9}{}\protected@file@percent } \newlabel{fig:correspondencia}{{7}{9}{}{figure.7}{}} -\@writefile{toc}{\contentsline {section}{\numberline {VII}Discussão}{9}{}\protected@file@percent } \citation{Silva2023} \citation{LeBonniec2025} +\@writefile{toc}{\contentsline {section}{\numberline {VII}Discussão}{10}{}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {VIII}Limitações do Projeto}{10}{}\protected@file@percent } \bibcite{AbuShawar2007}{1} \bibcite{Almeida2018}{2} @@ -124,12 +123,12 @@ \bibcite{BrasilResolucao510}{13} \bibcite{Camargo2013}{14} \bibcite{carvalho2024}{15} -\bibcite{csikszentmihalyi1975}{16} -\bibcite{csikszentmihalyi1997}{17} \@writefile{toc}{\contentsline {section}{\numberline {IX}Considerações Finais}{11}{}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {X}Agradecimentos}{11}{}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {XI}Declaração sobre o uso de inteligência artificial}{11}{}\protected@file@percent } -\@writefile{toc}{\contentsline {section}{References}{11}{}\protected@file@percent } +\@writefile{toc}{\contentsline {section}{Referências}{11}{}\protected@file@percent } +\bibcite{csikszentmihalyi1975}{16} +\bibcite{csikszentmihalyi1997}{17} \bibcite{Davis1989}{18} \bibcite{Gerhardt2009}{19} \bibcite{INCA2022}{20} diff --git a/artigo.log b/artigo.log index 60652c4..1892827 100644 --- a/artigo.log +++ b/artigo.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.141592653-2.6-1.40.28 (TeX Live 2025) (preloaded format=pdflatex 2025.10.8) 13 OCT 2026 18:15 +This is pdfTeX, Version 3.141592653-2.6-1.40.28 (TeX Live 2025) (preloaded format=pdflatex 2025.10.8) 14 OCT 2026 00:05 entering extended mode \write18 enabled. %&-line parsing enabled. @@ -292,20 +292,20 @@ File: l3backend-pdftex.def 2025-06-09 L3 backend support: PDF output (pdfTeX) (./artigo.aux) \openout1 = `artigo.aux'. -LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for OMS/cmsy/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for OMX/cmex/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. -LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 16. -LaTeX Font Info: ... okay on input line 16. +LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for OMS/cmsy/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for OMX/cmex/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. +LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 22. +LaTeX Font Info: ... okay on input line 22. -- Lines per column: 56 (exact). 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[] -Underfull \hbox (badness 10000) in paragraph at lines 651--656 +Underfull \hbox (badness 10000) in paragraph at lines 657--662 []\OT1/ptm/m/n/8 VENTURA, Fe-lipe. What-sApp chega a 99% dos [] -Underfull \hbox (badness 10000) in paragraph at lines 651--656 +Underfull \hbox (badness 10000) in paragraph at lines 657--662 \OT1/ptm/m/n/8 celu-lares no Brasil; Tele-gram cresce. [S. l.], 2020. [] -Underfull \hbox (badness 10000) in paragraph at lines 651--656 +Underfull \hbox (badness 10000) in paragraph at lines 657--662 \OT1/ptm/m/n/8 Dispon[]^^Pvel em: $https : / / tecnoblog . net / noticias / 202 0 / 02 / 27 / [] -Underfull \hbox (badness 10000) in paragraph at lines 651--656 +Underfull \hbox (badness 10000) in paragraph at lines 657--662 \OT1/ptm/m/n/8 whatsapp-[]chega-[]a-[]99-[]por-[]cento-[]celulares-[]brasil-[]t elegram-[]cresce/$. [] -Underfull \hbox (badness 2326) in paragraph at lines 696--700 +Underfull \hbox (badness 2326) in paragraph at lines 702--706 []\OT1/ptm/m/n/8 INTERNATIONAL OR-GA-NI-ZA-TION FOR STAN-DARD-IZA-TION. 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PDF statistics: 81 PDF objects out of 1000 (max. 8388607) 45 compressed objects within 1 object stream diff --git a/artigo.pdf b/artigo.pdf index 71c6b43..94f1ee9 100644 Binary files a/artigo.pdf and b/artigo.pdf differ diff --git a/artigo.synctex.gz b/artigo.synctex.gz index ca955bc..bace0b5 100644 Binary files a/artigo.synctex.gz and b/artigo.synctex.gz differ diff --git a/artigo.tex b/artigo.tex index d9929c9..3b406f4 100644 --- a/artigo.tex +++ b/artigo.tex @@ -13,6 +13,12 @@ \usepackage{fancyhdr} \def\BibTeX{{\rm B\kern-.05em{\sc i\kern-.025em b}\kern-.08em T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}} + +\renewcommand{\refname}{Referências} +\renewcommand{\abstractname}{Resumo} +\renewcommand{\tablename}{TABELA} +\renewcommand{\IEEEkeywordsname}{Palavras-chave} + \begin{document} \title{Avaliação da experiência do usuário na utilização de um protótipo de chatbot para o apoio a prevenção do câncer do colo do útero.\\ @@ -326,17 +332,17 @@ As respostas à questão aberta foram processadas no IRAMUTEQ por meio de nuvem \subsubsection{\textbf{Nuvem de Palavras}} \begin{figure}[htbp] - \centerline{\includegraphics[scale=0.37]{nuvemdepalavras.png}} + \centerline{\includegraphics[scale=0.5]{nuvemdepalavras.png}} \caption{Nuvem de Palavras} \label{fig:nuvem-palavras} \end{figure} -A análise evidencia que as palavras de maior destaque, como \textit{agendamento}, \textit{chatbot}, \textit{mensagem}, \textit{muito}, \textit{achar}, \textit{bem} e \textit{vez}, indicam que os usuários associaram fortemente a ferramenta ao processo de marcar consultas e à comunicação automatizada. Outros termos relevantes, como \textit{cadastro}, \textit{confirmar}, \textit{informação} e \textit{atendimento}, reforçam a percepção de clareza e praticidade na interação. Já palavras como \textit{fácil}, \textit{bom} e \textit{usuário} apontam para uma avaliação positiva da usabilidade, enquanto termos como \textit{erro} e \textit{pessoa} sugerem dificuldades pontuais. Dessa forma, a nuvem de palavras complementa os resultados quantitativos, revelando que o chatbot foi associado a uma experiência prática, clara e predominantemente positiva \cite{Camargo2013}. +A análise evidencia que as palavras de maior destaque, com pode ser visto na Figura \ref{fig:nuvem-palavras}, como \textit{agendamento}, \textit{chatbot}, \textit{mensagem}, \textit{muito}, \textit{achar}, \textit{bem} e \textit{vez}, indicam que os usuários associaram fortemente a ferramenta ao processo de marcar consultas e à comunicação automatizada. Outros termos relevantes, como \textit{cadastro}, \textit{confirmar}, \textit{informação} e \textit{atendimento}, reforçam a percepção de clareza e praticidade na interação. Já palavras como \textit{fácil}, \textit{bom} e \textit{usuário} apontam para uma avaliação positiva da usabilidade, enquanto termos como \textit{erro} e \textit{pessoa} sugerem dificuldades pontuais. Dessa forma, a nuvem de palavras complementa os resultados quantitativos, revelando que o chatbot foi associado a uma experiência prática, clara e predominantemente positiva \cite{Camargo2013}. \subsubsection{\textbf{Análise de similitude}} \begin{figure}[htbp] - \centerline{\includegraphics[scale=0.25]{analisedesimilitude.png}} + \centerline{\includegraphics[scale=0.28]{analisedesimilitude.png}} \caption{Árvore de Similitude} \label{fig:similitudes} \end{figure} @@ -348,7 +354,7 @@ A análise de similitude, apresentada na Figura \ref{fig:similitudes}, evidencia A AFC apresentada na Figura \ref{fig:correspondencia} mostra que palavras como \textit{ótimo}, \textit{intuitivo}, \textit{geral} e \textit{pessoa} se agrupam em um mesmo quadrante, sugerindo avaliações positivas e percepções relacionadas à experiência geral de uso. Em contraste, termos como \textit{digitar}, \textit{único}, \textit{responder} e \textit{até} aparecem mais dispersos, indicando especificidades ou menor associação ao núcleo semântico predominante. \begin{figure}[htbp] - \centerline{\includegraphics[scale=0.25]{analisefatorialdecorrespondencia-palavra.png}} + \centerline{\includegraphics[scale=0.3]{analisefatorialdecorrespondencia-palavra.png}} \caption{Análise Fatorial de Correspondência} \label{fig:correspondencia} \end{figure}