Augmenting Tactile 3D Data Navigation With Pressure Sensing
Description:
We present a pressure-augmented tactile 3D data navigation technique, specifically designed for small devices, motivated by the need to support the interactive visualization beyond traditional workstations. While touch input has been studied extensively on large screens, current techniques do not scale to small and portable devices. We use phone-based pressure sensing with a binary mapping to separate interaction degrees of freedom (DOF) and thus allow users to easily select different manipulation schemes (e.g., users first perform only rotation and then with a simple pressure input to switch to translation). We compare our technique to traditional 3D-RST (rotation, scaling, translation) using a docking task in a controlled experiment. The results show that our technique increases the accuracy of interaction, with limited impact on speed. We discuss the implications for 3D interaction design and verify that our results extend to older devices with pseudo pressure and are valid in realistic phone usage scenarios.
Paper download: (2.8 MB)
Demo/Software:
A demo of the prototypical implementation is available on Github.
Video:
Fast-forward at EuroVis 2019:
Get the videos:
- watch the paper video on YouTube.
- download the fast-forward video (MPEG4, 34.4MB),
- watch the fast-forward video on YouTube.
- watch the poster video on YouTube.
Pictures/visualizations:
Poster presented at IEEE 2017:
Main Reference:
Xiyao Wang, Lonni Besançon, Mehdi Ammi, and Tobias Isenberg (2019) Augmenting Tactile 3D Data Navigation With Pressure Sensing. Computer Graphics Forum, 38(3):635–647, June 2019. |
Other References:
Xiyao Wang, Lonni Besançon, Mehdi Ammi, and Tobias Isenberg (2017) Augmenting Tactile 3D Data Exploration With Pressure Sensing. In Natalia Andrienko, Wenwen Dou, Christoph Garth, Petra Isenberg, Miriah Meyer, and Gunther Weber, eds., Posters at the IEEE Conference on Visualization (IEEE VIS, October 1–6, Phoenix, Arizona, USA). 2017. Extended abstract and poster, also see the paper at EuroVis 2019/article in Computer Graphics Forum. |
Xiyao Wang (2020) Augmented Reality Environments for the Interactive Exploration of 3D Data. PhD thesis, Université Paris-Saclay, France, December 2020. |
This work was done at the AVIZ project group of Inria, France.