Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/59290 |
Resumo: | Interactive applications to explore data are increasing daily as numerous data sources are used across various contexts. Consequently, it becomes imperative to consider the quality of user interaction and interpretation when dealing with data. In recent years, another noteworthy aspect gaining prominence is the utilization of geoprocessing to depict distances on maps, determine routes, and perform other related functions in the environmental area. Analyzing data within geoprocessing systems demands appropriate procedures to enhance the interactive technologies employed in such systems. This issue entails adopting user-centered approaches and strategies to mitigate the inherent complexity. While numerous heuristics are available for human-computer interaction studies, and some heuristics for human-data interaction have been developed recently, the availability of heuristics specifically catering to interaction and interpretation of data in maps remains limited. This study aimed to propose design recommendations specifically for human-data interaction within the geoprocessing domain. The development of these recommendations involved a series of studies conducted to identify the most significant issues pertaining to the interactions and development processes. The method included interviews with geoprocessing experts, usability inspections and tests with users. The first step involved interviews with 15 specialists in geoprocessing applications to understand the primary challenges associated with the development of this technology. The second step involved performing heuristic evaluations with three specialists in human-computer interaction, utilizing existing heuristics. The final step involved conducting user tests to ascertain users’ difficulties when interacting with data displayed on maps. For this investigation, four geoprocessing applications from the market were evaluated: "SNISB" (18 users), and "SIOUT SC", , "P3M", and "Observatório da Agropecuária" (27 users, 9 on each system). These applications, developed by the Brazilian Government, aim to provide information to diverse user groups. Following an analysis of the obtained results, the thematic analysis of the interviews yielded two themes: 1) Characteristics of Geoprocessing Systems in Environmental Contexts and Implications for Design and 2) Development of Applications for Geo Data Interaction in Environmental Contexts, divided into three subthemes each. The usability inspections of the four applications yielded 211 problems. Usability evaluations with users yielded 186 unique problems. The problems from both evaluations yielded seven categories. From the analysis of the expert interviews, inspections with usability specialists, and user evaluations, the study drew ten recommendations for the design of geoprocessing interactive applications, which were divided into product and process recommendations. The proposed recommendations aim to improve the development of interactive data-intensive geoprocessing and improvements in the usability of such applications. |
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Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiencesInteração humano-dados em aplicações de geoprocessamento: recomendações de design de inspeções, avaliação com usuários e experiências de especialistasInteração humano-dadosGeoprocessamentoUsabilidadeInteração humano-computadorVisualização de dadosAvaliação heurísticaHuman-data interactionGeoprocessingUsabilityHuman-computer interactionData visualizationHeuristic evaluationCiência da ComputaçãoInteractive applications to explore data are increasing daily as numerous data sources are used across various contexts. Consequently, it becomes imperative to consider the quality of user interaction and interpretation when dealing with data. In recent years, another noteworthy aspect gaining prominence is the utilization of geoprocessing to depict distances on maps, determine routes, and perform other related functions in the environmental area. Analyzing data within geoprocessing systems demands appropriate procedures to enhance the interactive technologies employed in such systems. This issue entails adopting user-centered approaches and strategies to mitigate the inherent complexity. While numerous heuristics are available for human-computer interaction studies, and some heuristics for human-data interaction have been developed recently, the availability of heuristics specifically catering to interaction and interpretation of data in maps remains limited. This study aimed to propose design recommendations specifically for human-data interaction within the geoprocessing domain. The development of these recommendations involved a series of studies conducted to identify the most significant issues pertaining to the interactions and development processes. The method included interviews with geoprocessing experts, usability inspections and tests with users. The first step involved interviews with 15 specialists in geoprocessing applications to understand the primary challenges associated with the development of this technology. The second step involved performing heuristic evaluations with three specialists in human-computer interaction, utilizing existing heuristics. The final step involved conducting user tests to ascertain users’ difficulties when interacting with data displayed on maps. For this investigation, four geoprocessing applications from the market were evaluated: "SNISB" (18 users), and "SIOUT SC", , "P3M", and "Observatório da Agropecuária" (27 users, 9 on each system). These applications, developed by the Brazilian Government, aim to provide information to diverse user groups. Following an analysis of the obtained results, the thematic analysis of the interviews yielded two themes: 1) Characteristics of Geoprocessing Systems in Environmental Contexts and Implications for Design and 2) Development of Applications for Geo Data Interaction in Environmental Contexts, divided into three subthemes each. The usability inspections of the four applications yielded 211 problems. Usability evaluations with users yielded 186 unique problems. The problems from both evaluations yielded seven categories. From the analysis of the expert interviews, inspections with usability specialists, and user evaluations, the study drew ten recommendations for the design of geoprocessing interactive applications, which were divided into product and process recommendations. The proposed recommendations aim to improve the development of interactive data-intensive geoprocessing and improvements in the usability of such applications.Aplicações interativas para explorar dados estão aumentando diariamente, visto que inúmeras fontes de dados são usadas em vários contextos. Consequentemente, torna-se imperativo considerar a qualidade da interação e interpretação do usuário ao lidar com dados. Nos últimos anos, outro aspecto notável que vem ganhando destaque é a utilização do geoprocessamento para representar elementos em mapas, determinar rotas e executar outras funções relacionadas na área ambiental. Analisar dados em sistemas de geoprocessamento exige procedimentos apropriados para aprimorar as tecnologias interativas empregadas em tais sistemas. Essa questão envolve a adoção de abordagens e estratégias centradas no ser humano, a fim de mitigar a complexidade inerente. Embora inúmeras heurísticas estejam disponíveis para estudos de interação humano-computador, e algumas heurísticas para interação humano-dados tenham sido desenvolvidas recentemente, a disponibilidade de heurísticas que atendam especificamente à interação e interpretação de dados em mapas permanece limitada. Este estudo teve como objetivo propor recomendações de design especificamente para interação humano-dados dentro do domínio do geoprocessamento. O desenvolvimento dessas recomendações envolveu uma série de estudos conduzidos para identificar as questões mais significativas relativas às interações e processos de desenvolvimento. O método incluiu entrevistas com especialistas em geoprocessamento, inspeções de usabilidade e testes com usuários. A primeira etapa envolveu entrevistas com 15 especialistas em aplicações de geoprocessamento para entender os principais desafios associados ao desenvolvimento desta tecnologia. A segunda etapa envolveu a realização de avaliações heurísticas com três especialistas em interação humano-computador, utilizando heurísticas existentes. A etapa final envolveu a realização de testes de usuários para verificar as dificuldades dos usuários ao interagir com dados exibidos em mapas. Para esta investigação, quatro aplicações de geoprocessamento do mercado foram avaliadas: "SNISB" (18 usuários), e "SIOUT SC", "P3M" e "Observatório da Agropecuária" (27 usuários, 9 em cada sistema). Essas aplicações, desenvolvidas pelo Governo Brasileiro, visam fornecer informações a diversos grupos de usuários. Após uma análise dos resultados obtidos, a análise temática das entrevistas produziu dois temas: 1) Características dos Sistemas de Geoprocessamento em Contextos Ambientais e Implicações para o Design, e, 2) Desenvolvimento de Aplicações para Interação de Dados Geográficos em Contextos Ambientais, divididos em três subtemas cada. As inspeções de usabilidade das quatro aplicações produziram 211 problemas. As avaliações de usabilidade com usuários produziram 186 problemas únicos. Os problemas de ambas as avaliações produziram sete categorias. A partir da análise de entrevistas com especialistas, inspeções com especialistas em usabilidade e avaliações de usuários, o estudo extraiu dez recomendações para o design de aplicativos interativos de geoprocessamento, que foram divididas em recomendações de produto e processo. As recomendações propostas visam melhorar o desenvolvimento de geoprocessamento interativo intensivo em dados e melhorias na usabilidade de tais aplicativos.Universidade Federal de LavrasPrograma de Pós-Graduação em Ciência da ComputaçãoUFLAbrasilDepartamento de Ciência da ComputaçãoFreire, André PimentaSantos, Caroline QueirozFrança, Juliana Baptista dos SantosCapeleti, Bruna Santana2024-08-28T14:41:55Z2024-08-282024-08-28T14:41:55Z2024-08-282024-04-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfCAPELETI, Bruna Santana. Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences. 2024. 131p. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Lavras, 2024http://repositorio.ufla.br/jspui/handle/1/59290porAttribution-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLA2024-09-12T18:36:31Zoai:localhost:1/59290Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2024-09-12T18:36:31Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences Interação humano-dados em aplicações de geoprocessamento: recomendações de design de inspeções, avaliação com usuários e experiências de especialistas |
title |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
spellingShingle |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences Capeleti, Bruna Santana Interação humano-dados Geoprocessamento Usabilidade Interação humano-computador Visualização de dados Avaliação heurística Human-data interaction Geoprocessing Usability Human-computer interaction Data visualization Heuristic evaluation Ciência da Computação |
title_short |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
title_full |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
title_fullStr |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
title_full_unstemmed |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
title_sort |
Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences |
author |
Capeleti, Bruna Santana |
author_facet |
Capeleti, Bruna Santana |
author_role |
author |
dc.contributor.none.fl_str_mv |
Freire, André Pimenta Santos, Caroline Queiroz França, Juliana Baptista dos Santos |
dc.contributor.author.fl_str_mv |
Capeleti, Bruna Santana |
dc.subject.por.fl_str_mv |
Interação humano-dados Geoprocessamento Usabilidade Interação humano-computador Visualização de dados Avaliação heurística Human-data interaction Geoprocessing Usability Human-computer interaction Data visualization Heuristic evaluation Ciência da Computação |
topic |
Interação humano-dados Geoprocessamento Usabilidade Interação humano-computador Visualização de dados Avaliação heurística Human-data interaction Geoprocessing Usability Human-computer interaction Data visualization Heuristic evaluation Ciência da Computação |
description |
Interactive applications to explore data are increasing daily as numerous data sources are used across various contexts. Consequently, it becomes imperative to consider the quality of user interaction and interpretation when dealing with data. In recent years, another noteworthy aspect gaining prominence is the utilization of geoprocessing to depict distances on maps, determine routes, and perform other related functions in the environmental area. Analyzing data within geoprocessing systems demands appropriate procedures to enhance the interactive technologies employed in such systems. This issue entails adopting user-centered approaches and strategies to mitigate the inherent complexity. While numerous heuristics are available for human-computer interaction studies, and some heuristics for human-data interaction have been developed recently, the availability of heuristics specifically catering to interaction and interpretation of data in maps remains limited. This study aimed to propose design recommendations specifically for human-data interaction within the geoprocessing domain. The development of these recommendations involved a series of studies conducted to identify the most significant issues pertaining to the interactions and development processes. The method included interviews with geoprocessing experts, usability inspections and tests with users. The first step involved interviews with 15 specialists in geoprocessing applications to understand the primary challenges associated with the development of this technology. The second step involved performing heuristic evaluations with three specialists in human-computer interaction, utilizing existing heuristics. The final step involved conducting user tests to ascertain users’ difficulties when interacting with data displayed on maps. For this investigation, four geoprocessing applications from the market were evaluated: "SNISB" (18 users), and "SIOUT SC", , "P3M", and "Observatório da Agropecuária" (27 users, 9 on each system). These applications, developed by the Brazilian Government, aim to provide information to diverse user groups. Following an analysis of the obtained results, the thematic analysis of the interviews yielded two themes: 1) Characteristics of Geoprocessing Systems in Environmental Contexts and Implications for Design and 2) Development of Applications for Geo Data Interaction in Environmental Contexts, divided into three subthemes each. The usability inspections of the four applications yielded 211 problems. Usability evaluations with users yielded 186 unique problems. The problems from both evaluations yielded seven categories. From the analysis of the expert interviews, inspections with usability specialists, and user evaluations, the study drew ten recommendations for the design of geoprocessing interactive applications, which were divided into product and process recommendations. The proposed recommendations aim to improve the development of interactive data-intensive geoprocessing and improvements in the usability of such applications. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-08-28T14:41:55Z 2024-08-28 2024-08-28T14:41:55Z 2024-08-28 2024-04-24 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
CAPELETI, Bruna Santana. Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences. 2024. 131p. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Lavras, 2024 http://repositorio.ufla.br/jspui/handle/1/59290 |
identifier_str_mv |
CAPELETI, Bruna Santana. Human-data interaction in geoprocessing applications: design recommendations from inspections, user evaluations and expert experiences. 2024. 131p. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Lavras, 2024 |
url |
http://repositorio.ufla.br/jspui/handle/1/59290 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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Attribution-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nd/4.0/ info:eu-repo/semantics/openAccess |
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Attribution-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nd/4.0/ |
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openAccess |
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application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Lavras Programa de Pós-Graduação em Ciência da Computação UFLA brasil Departamento de Ciência da Computação |
publisher.none.fl_str_mv |
Universidade Federal de Lavras Programa de Pós-Graduação em Ciência da Computação UFLA brasil Departamento de Ciência da Computação |
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reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
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Universidade Federal de Lavras (UFLA) |
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UFLA |
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UFLA |
reponame_str |
Repositório Institucional da UFLA |
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Repositório Institucional da UFLA |
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Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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