Immersive pedigree graph visualisations
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Razi, Septian
Gardner, Henry
Adcock, Matt
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IEEE
Abstract
We describe a study of six visualisation methods for hierarchical pedigree data in virtual reality. We model six different pedigree graph layouts: planar, cylinder, floor, sphere, cone (force directed) and vase layouts. Measurements of task accuracy and task completion time showed a statistically significant pairwise comparison on two task completion times between the sphere (better) and floor (worse) conditions. Likert ratings of user sentiments showed a statistically significant main effect of graph condition ratings of the understandability of the data with the sphere and vase graph layouts to be generally higher and the floor layout to be generally lower.
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Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
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Restricted until
2099-12-31