Exploring Interaction Paradigms for Performing Medical Image Segmentation Tasks in Virtual Reality

Research output: Contribution to Book/Report typesContribution to conference proceedingspeer-review

Abstract

Virtual reality (VR) facilitates immersive visualization and interaction with complex medical images in immersive platforms. It remains unclear which VR input schemes and devices are optimal for these tasks. In this study, we perform a 12-person study to investigate user performance and experience while performing medical image segmentation with two control schemes, keyboard and mouse (KBM) and VR motion controllers (MC). Our results showed that motion controllers are faster in smaller segmentation tasks and offer a more pleasant user experience, however no significant difference in user accuracy was observed.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1300-1301
Number of pages2
ISBN (Electronic)9798331514846
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 - Saint-Malo, France
Duration: 8 Mar 202512 Mar 2025

Publication series

NameProceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

Conference

Conference2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025
Country/TerritoryFrance
CitySaint-Malo
Period8/03/2512/03/25

!!!Keywords

  • Human computer interaction (HCI)-Interaction paradigms-Mixed / augmented reality
  • Interaction devices-Haptic Devices
  • Interaction devices-Keyboards
  • Interaction devices-Pointing devices

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