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How to effectively use interactivity to improve visual analysis in groups of novices or experts

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dc.contributor.authorViana, Maria do Mar
dc.contributor.authorCabral, Pedro
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.date.accessioned2022-07-29T22:15:09Z
dc.date.available2022-07-29T22:15:09Z
dc.date.issued2020
dc.descriptionViana, M. D. M., & Cabral, P. (2020). How to effectively use interactivity to improve visual analysis in groups of novices or experts. In CAPSI 2020. 20ª Conferência da Associação Portuguesa de Sistemas de Informação, "Artificialização, Humanização: Os desafios dos Sistemas de Informação na transformação da sociedade". [20th Portuguese Association of Information Systems Conference] (pp. 1-18). [33] Associação Portuguesa de Sistemas de Informação. Link: https://aisel.aisnet.org/capsi2020/33
dc.description.abstractThis study contributes with a methodology to evaluate the differences between different groups of individuals, using a prototype with different interactive visualizations, created with the Shiny package, using 6 quantitative and qualitative metrics for the validation. Using an ANOVA single factor test only 1 of the 6 variables showed statistically significant differences between both groups: the engagement. This means that this is the only metric where results can be improved in order to close the gap between the group of experts and novices. The heatmap and the bar chart were considered the best visualizations for both groups, and the worst were the choropleth map and the stacked bar chart. Regarding the interactive component, the select box was a better option for the group of novices and the radio box for the group of experts. Using this study, organizations will be able to create visualizations that are suitable for different audiences.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent18
dc.format.extent918877
dc.identifier.otherPURE: 27299541
dc.identifier.otherPURE UUID: 9f30e00b-ecb2-484a-ba9a-ec4a10c62857
dc.identifier.otherORCID: /0000-0001-8622-6008/work/86214548
dc.identifier.otherScopus: 85114347296
dc.identifier.urihttp://hdl.handle.net/10362/142671
dc.identifier.urlhttps://aisel.aisnet.org/capsi2020/33
dc.identifier.urlhttps://www.scopus.com/pages/publications/85114347296
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAPSI - Associação Portuguesa de Sistemas de Informação
dc.subjectData visualization
dc.subjectInteractivity
dc.subjectExperts
dc.subjectNovices
dc.subjectShiny
dc.subjectInformation Systems and Management
dc.subjectManagement Information Systems
dc.subjectManagement of Technology and Innovation
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.titleHow to effectively use interactivity to improve visual analysis in groups of novices or expertsen
dc.typeconference object
degois.publication.firstPage1
degois.publication.lastPage18
degois.publication.titleCAPSI 2020. 20ª Conferência da Associação Portuguesa de Sistemas de Informação, "Artificialização, Humanização: Os desafios dos Sistemas de Informação na transformação da sociedade". [20th Portuguese Association of Information Systems Conference]
degois.publication.titleCAPSI 2020. 20ª Conferência da Associação Portuguesa de Sistemas de Informação
dspace.entity.typePublication
rcaap.rightsopenAccess

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