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  4. Exploring the Design of Visualizations of Personal Online Data Based on Users’ Mental Models
 
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2023
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Exploring the Design of Visualizations of Personal Online Data Based on Users’ Mental Models

Abstract
As data becomes more and more pervasive in our daily lives, supporting people in getting visual insights into their data is an important challenge to address. However, as data visualization literacy is still low, a gap between designers’ mental model and users is not uncommon. To best pick up users where they are, we propose to include the data mental models of users into the design process. In this paper, we present our investigations in this direction by incorporating user sketches of their idea about their personal data stored at online services as a basis of our designs. We present our design study on personal data visualization interfaces resulting in a set of user sketches for three types of user groups and in three visualization interfaces. Finally, we reflect on our learnings and identify pitfalls to support other researchers in applying similar approaches.
Author(s)
Dutz, Marija  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Starčević, Nataša
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Reynolds, Steven Lamarr  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Conference
International Conference Information Visualisation 2023  
DOI
10.24406/publica-1862
File(s)
IV_2023__Mental_Models.pdf (654.65 KB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Information Technology

  • Research Line: Human computer interaction (HCI)

  • LTA: Interactive decision-making support and assistance systems

  • Interactive information visualization

  • Mental models

  • Methodology

  • Human-centered user interfaces

  • ATHENE

  • CRISP

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