TL;DR
This paper introduces data visceralization, a VR-based approach that enhances understanding of abstract data by connecting it to real-world physical measures, complementing traditional data visualization methods.
Contribution
It pioneers the concept of data visceralization using VR to restore understanding of units and measures often lost in traditional visualization.
Findings
VR enhances understanding of physical measures
Effective when data maps directly to real-world representations
Transformations like scaling can impact comprehension
Abstract
A fundamental part of data visualization is transforming data to map abstract information onto visual attributes. While this abstraction is a powerful basis for data visualization, the connection between the representation and the original underlying data (i.e., what the quantities and measurements actually correspond with in reality) can be lost. On the other hand, virtual reality (VR) is being increasingly used to represent real and abstract models as natural experiences to users. In this work, we explore the potential of using VR to help restore the basic understanding of units and measures that are often abstracted away in data visualization in an approach we call data visceralization. By building VR prototypes as design probes, we identify key themes and factors for data visceralization. We do this first through a critical reflection by the authors, then by involving external…
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