Visualizations at First Sight: Do Insights Require Training?

  • Authors:
  • Michael Smuc;Eva Mayr;Tim Lammarsch;Alessio Bertone;Wolfgang Aigner;Hanna Risku;Silvia Miksch

  • Affiliations:
  • Research Center KnowComm, Department for Knowledge and Communication Management, Danube University Krems,;Research Center KnowComm, Department for Knowledge and Communication Management, Danube University Krems,;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria 3500;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria 3500;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria 3500;Research Center KnowComm, Department for Knowledge and Communication Management, Danube University Krems,;Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria 3500

  • Venue:
  • USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
  • Year:
  • 2008

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Abstract

Understanding novel visualizations can be a challenge even forexperienced users. During iterative usability engineering phases inthe DisCō project, visualizations of time-oriented data areexplored by domain experts and non-experts. The aim of our study isto analyze the generation of knowledge and understanding by meansof visualizations without previous user training. Focusing onapplicability in various business domains for personnel planningand time scheduling, we tested mockups of visualizations with amethod based on user-reported insights. Results show almostidentical behavior of domain experts and non-experts whengenerating insights into the data from scratch. In the course ofworking with a visualization, an interchange of insights into thevisualization and insights into the data was found.