This study wants to investigate how Interaction Design techniques can contribute to giving meaning to data visualization in a syndemic dashboard and to gain understanding from it. I am going to present to you a Syndemic Dashboard that has the goal of helping researchers to find trends, patterns and make predictions of the spread of Covid-19 in the Swedish context, collaborating with K3, IUR, DVMT, and the University of Oxford. In order to do this, I will first give an overview of what a dashboard is, dashboarding practices and interaction techniques, cognitive aspects involved to generate meaning, and relevant theories to gain understanding from Big Data. Consequently, I will explain the process and the methodologies applied to achieve the final result. The thesis ends with a discussion about the final result and proposes future investigations.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-43624 |
| Date | January 2021 |
| Creators | Cinelli, Ester |
| Publisher | Malmö universitet, Institutionen för konst, kultur och kommunikation (K3) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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