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We present a design-based exploration of the potential to reinterpret glyph-based visualization of scalar fields on 3D surfaces, a traditional scientific visualization technique, as a data physicalization technique. Even with the best virtual reality displays, users often struggle to correctly interpret spatial relationships in 3D datasets; thus, we are motivated to understand the extent to which traditional scientific visualization methods can translate to physical media where users may simultaneously leverage their visual systems and tactile senses to, in theory, better understand and connect with the data of interest. This pictorial traces the process of our design for a specific user study experiment: (1) inspiration, (2) exploring the data physicalization design space, (3) prototyping with 3D printing, (4) applying the techniques to different synthetic datasets. We call our most recent and compelling visual/tactile design boxcars on potatoes, and the next step in the research is to run a user-based evaluation to elucidate how this design compares to several of the others pictured here.
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Dynamic Visualization System for Gaze and Dialogue Data
We report and review a visualization system capable of displaying gaze and speech data elicited from pairs of subjects interacting in a discussion. We elicit such conversation data in our first experiment, where two participants are given the task of reaching a consensus about questions involving images. We validate the system in a second experiment where the purpose is to see if a person could determine which question had elicited a certain visualization. The visualization system allows users to explore reasoning behavior and participation during multimodal dialogue interactions.
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- Award ID(s):
- 1851591
- PAR ID:
- 10149408
- Date Published:
- Journal Name:
- 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP
- Volume:
- 2
- Page Range / eLocation ID:
- 138 to 145
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.5220/0008953201380145
