Publication: Understanding user experience of COVID-19 maps through remote elicitation interviews
dc.contributor.department | Department of Media and Visual Arts | |
dc.contributor.department | Graduate School of Social Sciences and Humanities | |
dc.contributor.kuauthor | Çay, Damla | |
dc.contributor.kuauthor | Yantaç, Asım Evren | |
dc.contributor.schoolcollegeinstitute | College of Social Sciences and Humanities | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES | |
dc.date.accessioned | 2024-11-09T11:58:51Z | |
dc.date.issued | 2020 | |
dc.description.abstract | During 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.fulltext | YES | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | N/A | |
dc.description.version | Publisher version | |
dc.identifier.doi | 10.1109/BELIV51497.2020.00015 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR02754 | |
dc.identifier.isbn | 9781728196428 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85101160970 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/909 | |
dc.keywords | Human-centered computing | |
dc.keywords | Visualization | |
dc.keywords | Visualization design and evaluation methods | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.grantno | NA | |
dc.relation.ispartof | 2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV) | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9398 | |
dc.subject | Visual analytics | |
dc.subject | Information visualization | |
dc.subject | Interaction techniques | |
dc.title | Understanding user experience of COVID-19 maps through remote elicitation interviews | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Çay, Damla | |
local.contributor.kuauthor | Yantaç, Asım Evren | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES | |
local.publication.orgunit1 | College of Social Sciences and Humanities | |
local.publication.orgunit2 | Department of Media and Visual Arts | |
local.publication.orgunit2 | Graduate School of Social Sciences and Humanities | |
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