Publication:
Understanding user experience of COVID-19 maps through remote elicitation interviews

dc.contributor.departmentDepartment of Media and Visual Arts
dc.contributor.departmentGraduate School of Social Sciences and Humanities
dc.contributor.kuauthorÇay, Damla
dc.contributor.kuauthorYantaç, Asım Evren
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
dc.date.accessioned2024-11-09T11:58:51Z
dc.date.issued2020
dc.description.abstractDuring the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
dc.description.fulltextYES
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublisher version
dc.identifier.doi10.1109/BELIV51497.2020.00015
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02754
dc.identifier.isbn9781728196428
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85101160970
dc.identifier.urihttps://hdl.handle.net/20.500.14288/909
dc.keywordsHuman-centered computing
dc.keywordsVisualization
dc.keywordsVisualization design and evaluation methods
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantnoNA
dc.relation.ispartof2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9398
dc.subjectVisual analytics
dc.subjectInformation visualization
dc.subjectInteraction techniques
dc.titleUnderstanding user experience of COVID-19 maps through remote elicitation interviews
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorÇay, Damla
local.contributor.kuauthorYantaç, Asım Evren
local.publication.orgunit1GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit2Department of Media and Visual Arts
local.publication.orgunit2Graduate School of Social Sciences and Humanities
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