Remote usability assessment of topic visualization interfaces with public participation data: a case study

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dc.contributor.authorYovanovic López, Ivania
dc.contributor.authorGoñi, Iñaki
dc.contributor.authorMiranda Mendoza, Constanza
dc.date.accessioned2021-09-01T20:55:37Z
dc.date.available2021-09-01T20:55:37Z
dc.date.issued2021
dc.date.updated2021-09-01T20:55:37Z
dc.description.abstractCitizen participation often faces challenges of transparency and accountability. Visualizations’s usability becomes key for public consultation activities. The tree map is frequently used to disseminate data and to give it back to the population. The purpose of this study is to understand how tree maps and stacked barcharts differ in terms of effectiveness, efficiency, and satisfaction in tasks, like solving topic categorization and comparison analysis tasks. An experimental design was used to examine user performance based on a task-based usability test. 34 participants interacted remotely with data visualizations from an open 2016 participatory constitution-making process. The ANOVA showed that stacked barcharts work significantly better for comparison tasks than the tree map, but there are no significant differences in regards to categorization tasks. Public participation initiatives should first determine what cognitive operations their users perform before deciding which visualization interfaces will be more useful for the intended public.
dc.fuente.origenORCID
dc.identifier.doi10.29379/jedem.v13i1.640
dc.identifier.issn2075-9517
dc.identifier.urihttps://doi.org/10.29379/jedem.v13i1.640
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/62179
dc.issue.numeroNo. 1
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final126
dc.pagina.inicio101
dc.revistaJeDEM
dc.rightsacceso abierto
dc.subjectPublic consultation
dc.subjectTopic visualization
dc.subjectUsability
dc.subjectHuman-computer interaction
dc.titleRemote usability assessment of topic visualization interfaces with public participation data: a case study
dc.typeartículo
dc.volumenVol. 13
sipa.codpersvinculados223041
sipa.codpersvinculados221552
sipa.codpersvinculados17168
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