An Autobiographical Reflection on Designing Visualizations for Personal Contexts

Simple item page
dc.contributor.advisorCarpendale, Sheelagh
dc.contributor.advisorTang, Anthony
dc.contributor.authorAseniero, Bon Adriel
dc.contributor.committeememberWillett, Wesley
dc.contributor.committeememberNeustaedter, Carman
dc.contributor.committeememberLiang, Hung-Ling (Steve)
dc.contributor.committeememberVande Moere, Andrew
dc.dateWinter Conferral
dc.date.accessioned2022-03-14T22:27:46Z
dc.date.available2022-03-14T22:27:46Z
dc.date.issued2020-10-23
dc.description.abstractUnderstanding personally relevant data can help us reflect upon ourselves or learn something new. Research in information visualization has shown that the use of interactive, graphical representations of data (data visualizations) enhance our ability to process information and learn. However, most of our current understanding of designing these representations stem from task-oriented professional/work contexts. In contrast, recently, the Infovis community has been interested in designing visualizations for more personal contexts. This knowledge can be applied to emergent research on data visualization usage in broader perspectives such as casual and personal visualizations, and visualizations for public engagement, where end-users tend to be non-experts, and where aesthetics and engagement may take precedence over task efficiency. In this thesis, I take an autobiographical approach in which I analyzed eight years’ worth of archived data (through design journals) on my work in designing and implementing data visualizations. These visualizations’ use cases range from individuals logging their activities, to several people (both novices and experts) convening in public engagement settings. Central to my body of work is an emphasis on the intentional use of visual aesthetics in designing data representations. Reflecting upon this body of work and experiences, I give a case-by-case, narrative reconstruction of my design process. In these narratives, I explore the prioritization of the aesthetic look-and-feel of visual encodings on the same level as people’s data exploration tasks. With this longitudinal insight, my thesis outlines a process of how a data visualization designer can design nonconventional data representations for personal contexts from sketches to working prototypes.
dc.identifier.citationAseniero, B. (2020). An Autobiographical Reflection on Designing Visualizations for Personal Contexts (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/39632
dc.identifier.urihttp://hdl.handle.net/1880/114472
dc.language.isoenen
dc.language.isoEnglish
dc.publisher.facultyGraduate Studiesen
dc.publisher.facultyScience
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en
dc.subjectInformation Visualization
dc.subjectHuman-Computer Interaction
dc.subjectDesign of Nonconventional Data Representations
dc.subjectPersonal Visualizations
dc.subjectData Visualization
dc.subjectInformation Design
dc.subjectDesign Journals
dc.subjectSketching
dc.subjectIdeation
dc.subjectPublic Engagement
dc.subject.classificationInformation Science
dc.subject.classificationComputer Science
dc.titleAn Autobiographical Reflection on Designing Visualizations for Personal Contexts
dc.typedoctoral thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgaryen
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2020_aseniero_bonadriel.pdf
Size:
60.1 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Open Theses and Dissertations