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Design Strategies and Optimizations for Human-Data Interaction Systems in Museums

conferencePaper

DOI:10.1109/ICALT49669.2020.00081
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Authors: Alhakamy A'aeshah / Cafaro Francesco / Trajkova Milka / Kankara Sreekanth / Mallappa Rashmi / Veda Sanika

Extracted Abstract:

—Embodied interaction is particularly useful in mu- seums because it allows to leverage findings from embodied cognition to support the learning of STEM concepts and thinking skills. In this paper, we focus on Human-Data Interaction (HDI), a class of embodied interactions that investigates the design of interactive data visualizations that users control with gestures and body movements. We describe an HDI system that we iteratively designed, implemented, and observed at a science museum, and that allows visitors to explore large sets of data on two 3D globe maps. We present and discuss design strategies and optimization that we implemented to mitigate two sets of design challenges: (1) Dealing with display, interaction, and affordance blindness; and, (2) Supporting multiple functionalities and collaboration. Index Terms—Embodied Interaction, Human-Data Interaction, Public Displays, Informal Learning, Museums 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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