Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany
Description:
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.
Jiayi Hong, Ferran Argelaguet, Alain Trubuil, and Tobias Isenberg (2021) Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany. In Manolis Savva and Ahmed Sabbir Arif, eds., Proceedings of Graphics Interface (GI, May 27–28, virtually in Vancouver, BC, Canada). Canadian Human-Computer Communications Society, Mississauga, ON, Canada, pages 213–223, 2021.
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BibTeX entry:
@INPROCEEDINGS{Hong:2021:DET,
author = {Jiayi Hong and Ferran Argelaguet and Alain Trubuil and Tobias Isenberg},
title = {Design and Evaluation of Three Selection Techniques for Tightly Packed {3D} Objects in Cell Lineage Specification in Botany},
booktitle = {Proceedings of Graphics Interface (GI, May 27--28, virtually in Vancouver, BC, Canada)},
OPTeditor = {Manolis Savva and Ahmed Sabbir Arif},
year = {2021},
pages = {213--223},
publisher = {Canadian Human-Computer Communications Society},
address = {Mississauga, ON, Canada},
doi = {10.20380/GI2021.33},
doi_url = {https://doi.org/10.20380/GI2021.33},
oa_hal_url = {https://hal.science/hal-03127256},
osf_url = {https://osf.io/cewhn/},
osf_url2 = {https://osf.io/yze5n/},
url = {https://tobias.isenberg.cc/p/Hong2021DET},
pdf = {https://tobias.isenberg.cc/personal/papers/Hong_2021_DET.pdf},
}
Other Referencea:
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.
Jiayi Hong, Ferran Argelaguet, Alain Trubuil, and Tobias Isenberg (2020) An Interactive System for Analyzing Plant Embryo Cell Division. In Alex Endert, Steffen Koch, Christophe Hurter, Michael Sedlmair, Daniel Jönsson, and Filip Sadlo, eds., Posters at the IEEE Conference on Visualization (IEEE VIS, October 25–30, (virtually in) Salt Lake City, Utah). 2020. Extended abstract and poster.
×
BibTeX entry:
@INPROCEEDINGS{Hong:2020:ISA,
author = {Jiayi Hong and Ferran Argelaguet and Alain Trubuil and Tobias Isenberg},
title = {An Interactive System for Analyzing Plant Embryo Cell Division},
booktitle = {Posters at the IEEE Conference on Visualization (IEEE VIS, October 25--30, (virtually in) Salt Lake City, Utah)},
OPTeditor = {Alex Endert and Steffen Koch and Christophe Hurter and Michael Sedlmair and Daniel J{\"o}nsson and Filip Sadlo},
year = {2020},
oa_hal_url = {https://hal.science/hal-02942953},
url = {https://tobias.isenberg.cc/p/Hong2021DET},
pdf = {https://tobias.isenberg.cc/personal/papers/Hong_2020_ISA.pdf},
}
(13.1 MB)
