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 language | English |
|---|---|
| Title of host publication | OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference |
| Editors | Judy 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 |
| Publisher | ACM |
| Pages | 306-315 |
| Number of pages | 10 |
| ISBN (Electronic) | 979-8-4007-1707-9 |
| DOIs | |
| Publication status | Published - 2 Dec 2023 |
| Publication type | A4 Article in conference proceedings |
| Event | Australian Computer-Human Interaction Conference - Wellington, New Zealand Duration: 2 Dec 2023 → 6 Dec 2023 |
Conference
| Conference | Australian Computer-Human Interaction Conference |
|---|---|
| Country/Territory | New Zealand |
| City | Wellington |
| Period | 2/12/23 → 6/12/23 |
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).
| Funders | Funder number |
|---|---|
| Business Finland | 930/31/2019 |
| Strategic Research Council at the Research Council of Finland | 345448 |
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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