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luizpicolo b606b21f3a Update 2026-10-14 00:07:04 -04:00
5 changed files with 104 additions and 120 deletions
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artigo.aux
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\bibcite{AbuShawar2007}{1} \bibcite{AbuShawar2007}{1}
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@@ -124,12 +123,12 @@
\bibcite{BrasilResolucao510}{13} \bibcite{BrasilResolucao510}{13}
\bibcite{Camargo2013}{14} \bibcite{Camargo2013}{14}
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artigo.log
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[]\OT1/ptm/b/it/9 Index Terms\OT1/ptm/b/n/9 ---Agentes con-ver-sa-cionais, Us-a []\OT1/ptm/b/it/9 Palavras-chave\OT1/ptm/b/n/9 ---Agentes con-ver-sa-cionais, U
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\OT1/ptm/m/n/10 mensura[][]ao quan-ti-ta-tiva e qual-i-ta-tiva uti-lizadas para
a
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\OT1/ptm/m/n/10 plane-ja-mento in-cluiu o re-cru-ta-mento de par-tic-i-pantes, \OT1/ptm/m/n/10 plane-ja-mento in-cluiu o re-cru-ta-mento de par-tic-i-pantes,
a a
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\OT1/ptm/m/n/10 (TCLE) e roteiros. Para a avalia[][]ao quan-ti-ta-tiva foram \OT1/ptm/m/n/10 (TCLE) e roteiros. Para a avalia[][]ao quan-ti-ta-tiva foram
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[]\OT1/ptm/m/n/10 Os da-dos foram reg-istra-dos por meio de for-mul[]arios []\OT1/ptm/m/n/10 Os da-dos foram reg-istra-dos por meio de for-mul[]arios
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\OT1/ptm/m/n/10 as especifica[][]oes de cada t[]ecnica, onde os avali-adores
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[]\OT1/ptm/m/n/10 Os eixos fa-to-ri-ais, que ex-pli-cam 24,5% e 17,8% da []\OT1/ptm/m/n/10 Os eixos fa-to-ri-ais, que ex-pli-cam 24,5% e 17,8% da
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\OT1/ptm/m/n/10 b[]asicas de lem-brete e agen-da-mento. Re-cur-sos mais \OT1/ptm/m/n/10 b[]asicas de lem-brete e agen-da-mento. Re-cur-sos mais
[] []
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[]\OT1/ptm/b/n/10 Avalia[][]ao lon-gi-tu-di-nal: \OT1/ptm/m/n/10 O es-tudo n[]a []\OT1/ptm/b/n/10 Avalia[][]ao lon-gi-tu-di-nal: \OT1/ptm/m/n/10 O es-tudo n[]a
o con-tem-plou o con-tem-plou
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[10] [10]
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[]\OT1/ptm/m/n/8 BARBOSA, Si-mone Di-niz Jun-queira et al. \OT1/ptm/m/it/8 Inte []\OT1/ptm/m/n/8 BARBOSA, Si-mone Di-niz Jun-queira et al. \OT1/ptm/m/it/8 Inte
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\OT1/ptm/m/n/8 2023. Dispon[]^^Pvel em: $https : / / www . inca . gov . br / si \OT1/ptm/m/n/8 2023. Dispon[]^^Pvel em: $https : / / www . inca . gov . br / si
tes / ufu . sti . inca . local / tes / ufu . sti . inca . local /
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\OT1/ptm/m/it/8 colo-gia\OT1/ptm/m/n/8 , Ribeir[]ao Preto, v. 21, n. 2, p. 513- \OT1/ptm/m/it/8 colo-gia\OT1/ptm/m/n/8 , Ribeir[]ao Preto, v. 21, n. 2, p. 513-
-518, dez. 2013. -518, dez. 2013.
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[]\OT1/ptm/m/n/8 LOUREN[]O, Dou-glas Fabi-ano; CAR-MONA, Elenice Valen-tim; []\OT1/ptm/m/n/8 LOUREN[]O, Dou-glas Fabi-ano; CAR-MONA, Elenice Valen-tim;
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[]\OT1/ptm/m/n/8 VALE, Diama Bhadra An-drade Peixoto do et al. Avalia[][]ao []\OT1/ptm/m/n/8 VALE, Diama Bhadra An-drade Peixoto do et al. Avalia[][]ao
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[]\OT1/ptm/m/n/8 VENTURA, Fe-lipe. What-sApp chega a 99% dos []\OT1/ptm/m/n/8 VENTURA, Fe-lipe. What-sApp chega a 99% dos
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\usepackage{fancyhdr} \usepackage{fancyhdr}
\def\BibTeX{{\rm B\kern-.05em{\sc i\kern-.025em b}\kern-.08em \def\BibTeX{{\rm B\kern-.05em{\sc i\kern-.025em b}\kern-.08em
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\renewcommand{\refname}{Referências}
\renewcommand{\abstractname}{Resumo}
\renewcommand{\tablename}{TABELA}
\renewcommand{\IEEEkeywordsname}{Palavras-chave}
\begin{document} \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.\\ \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}} \subsubsection{\textbf{Nuvem de Palavras}}
\begin{figure}[htbp] \begin{figure}[htbp]
\centerline{\includegraphics[scale=0.37]{nuvemdepalavras.png}} \centerline{\includegraphics[scale=0.5]{nuvemdepalavras.png}}
\caption{Nuvem de Palavras} \caption{Nuvem de Palavras}
\label{fig:nuvem-palavras} \label{fig:nuvem-palavras}
\end{figure} \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}} \subsubsection{\textbf{Análise de similitude}}
\begin{figure}[htbp] \begin{figure}[htbp]
\centerline{\includegraphics[scale=0.25]{analisedesimilitude.png}} \centerline{\includegraphics[scale=0.28]{analisedesimilitude.png}}
\caption{Árvore de Similitude} \caption{Árvore de Similitude}
\label{fig:similitudes} \label{fig:similitudes}
\end{figure} \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. 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] \begin{figure}[htbp]
\centerline{\includegraphics[scale=0.25]{analisefatorialdecorrespondencia-palavra.png}} \centerline{\includegraphics[scale=0.3]{analisefatorialdecorrespondencia-palavra.png}}
\caption{Análise Fatorial de Correspondência} \caption{Análise Fatorial de Correspondência}
\label{fig:correspondencia} \label{fig:correspondencia}
\end{figure} \end{figure}