Immersive pedigree graph visualisations

Septian Razi*, Henry Gardner, Matt Adcock

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages659-660
    Number of pages2
    ISBN (Electronic)9780738113678
    DOIs
    Publication statusPublished - Mar 2021
    Event2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021 - Virtual, Lisbon, Portugal
    Duration: 27 Mar 20213 Apr 2021

    Publication series

    NameProceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021

    Conference

    Conference2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021
    Country/TerritoryPortugal
    CityVirtual, Lisbon
    Period27/03/213/04/21

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