Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany

Jiayi Hong (1) , Ferran Argelaguet Sanz (2) , Alain Trubuil (3) , Tobias Isenberg (1)

1 AVIZ - Analysis and Visualization
2 Hybrid - 3D interaction with virtual environments using body and mind
3 INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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.

Mots clés: 3D interaction; object selection; dense datasets

Domaines: Informatique [cs]

Jiayi Hong, Ferran Argelaguet Sanz, Alain Trubuil, Tobias Isenberg. Design and Evaluation of Three Selection Techniques for Tightly Packed 3D Objects in Cell Lineage Specification in Botany. GI 2021 - Graphics Interface, May 2021, Mississauga, Canada. pp.213--223, ⟨10.20380/GI2021.33⟩. ⟨hal-03127256⟩