Evaluation of properties and usability of virtual reality interaction techniques in craniomaxillofacial computer-assisted surgical simulation

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Abstract

Although there are promising results from the use of virtual reality (VR) in the craniomaxillofacial field, there is still a need to validate the usability and properties of the VR environment and interaction techniques. The aim of this study was to evaluate the suitability of VR interaction methods for craniomaxillofacial computer-assisted surgical simulation (CASS) and to identify possible areas for improvement. Four VR interaction conditions were compared quantitatively and qualitatively: Hand, Mouse, Pen and, Controller. Four oral and maxillofacial radiologists performed a VR marking task on skull stereolithography models. Quantitative measures included accuracy, completion time, number of grasps and development. Qualitative attributes were easiness, efficiency, physical effort, accuracy, and naturalness. Mouse (1,51 mm) and Controller (1,73 mm) were the most accurate, Pen was the close third (2,06 mm), while Hand (4,52 mm) scored poorly. Mouse was slower and more burdensome than the other conditions. The accuracy of Pen and the completion times of Hand, Pen and Mouse improved over time. The usability of Controller (1,50) was rated best in Likert scale (1-5), with Pen (1,75) the close second. Mouse (3,00) and Hand (3,57) were inferior, and overall, Hand was the least preferred. Controller and Mouse achieved acceptable accuracy for craniomaxillofacial CASS. The usability of Controller was also rated highest, and it was the preferred choice of the radiologists. The combination of Mouse and VR was unnatural and cumbersome. To achieve an acceptable level of accuracy for Hand, hand tracking technology needs to be significantly improved.

Original languageEnglish
Title of host publicationOzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference
EditorsJudy Bowen, Nadia Pantidi, Dana McKay, Jennifer Ferreira, Alessandro Soro, Rachel Blagojevic, Chris Lawrence, Nic Vanderschantz, Te Taka Keegan, Jane Turner, Hilary Davis, Mark Apperley, Jacob Young
PublisherACM
Pages306-315
Number of pages10
ISBN (Electronic)979-8-4007-1707-9
DOIs
Publication statusPublished - 2 Dec 2023
Publication typeA4 Article in conference proceedings
EventAustralian Computer-Human Interaction Conference - Wellington, New Zealand
Duration: 2 Dec 20236 Dec 2023

Conference

ConferenceAustralian Computer-Human Interaction Conference
Country/TerritoryNew Zealand
CityWellington
Period2/12/236/12/23

Funding

This study was supported by Business Finland under project \"Digital and Physical Immersion in Radiology and Surgery\" (Grant no 930/31/2019) and by Academy of Finland under project \"Explainable AI Technologies for Segmenting 3D Imaging Data\" (Grant no 345448).

FundersFunder number
Business Finland930/31/2019
Strategic Research Council at the Research Council of Finland345448

    Keywords

    • Computer-assisted surgical simulation
    • Cone beam computed tomography
    • Craniomaxillofacial radiology
    • Craniomaxillofacial surgery
    • Interaction techniques
    • Virtual reality

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

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