Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany
We report on a controlled user study in which we investigated and compared three selection techniques in discovering and traversing 3D objects in densely packed environments. We apply this to cell division history marking as required by plant biologists who study the development of embryos, for whom existing selection techniques do not work due to the occlusion and tight packing of the cells to be selected. We specifically compared a list-based technique with an additional 3D view, a 3D selection technique that relies on an exploded view, and a combination of both techniques. Our results indicate that the combination was most preferred. List selection has advantages for traversing cells, while we did not find differences for surface cells. Our participants appreciated the combination because it supports discovering 3D objects with the 3D explosion technique, while using the lists to traverse 3D cells.
Paper download: (13.1 MB)
Study materials and data:
Our study materials and data can be found in the following OSF repositories: osf.io/cewhn and osf.io/yze5n.
Presentation at GI 2021:
Fast-Forward for poster presentation at VIS 2020:
Get the videos:
- watch the paper video on YouTube
- download the paper video (MPEG4, 27.9MB)
- watch the GI presentation video on YouTube
- watch the poster fast-forward video on YouTube
We continued this work and developed the LineageD tool, check out this follow-up as well.
|Jiayi Hong (2023) Machine Learning Supported Interactive Visualization of Hybrid 3D and 2D Data for the Example of Plant Cell Lineage Specification. PhD thesis, Université Paris-Saclay, France, February 2023.|
This work was done at the AVIZ project group of Inria, France, in collaboration with the MaiAGE team of InraE Jouy-en-Josas and the Hybrid team of Inria Rennes.
This work was supported through the Naviscope project, funded by Inria, France.