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UI Design Method for Visualizing Sensor Data to Enhance User Understanding

conferencePaper

DOI:10.1109/ICONAT57137.2023.10080807
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Authors: Takeuchi Makoto / Yumita Kentaro / Yoshioka Rentaro

Extracted Abstract:

—To create knowledge from data, it is important to understand the characteristics and meaning of data, but the degree of understanding differs depending on the person's ability and knowledge. If there is a method that can visualize not only its values but also its characteristics and meaning, it could decrease the dependence on the user’s abilities and knowledge. This paper presents a study on a method to incorporate such design in the software development process. In particular, a design of a user interface of the software for museum curators to analyze data of museum visitors is presented and analyzed. The data contains various characteristics, such as technical limitations of sensor performance, installation locations, measurement range, and frequency. The methods used to communicate them are presented and their effects are evaluated through user evaluation. Keywords—Human-Computer-Interaction, Knowledge Acquisition, Experience Design I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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