Projects per year
Abstract
Immersive Virtual Reality enables users to experience 3D models and other virtual content in ways that cannot be achieved on a flat screen, and several modern Virtual Reality applications now give users the ability to include or create their own content and objects. With user-generated content however, objects may come in all shapes and sizes. This necessitates the use of object manipulation methods that are effective regardless of object size. In this work we evaluate two methods for manipulating virtual objects of varying sizes. World Pull enables the user to directly manipulate and scale the virtual environment, while Pivot Manipulation enables the user to rotate objects around a set of predefined pivot points. The methods were compared to a traditional 6 degree of freedom manipulation method during a user study and the results showed that World Pull performed better in terms of precision for small and large objects, while Pivot Manipulation performed better for large objects.
Original language | English |
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Title of host publication | VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology |
Editors | Stephen N. Spencer |
Number of pages | 3 |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Publication date | 8 Dec 2021 |
Pages | 1-3 |
Article number | 54 |
ISBN (Electronic) | 9781450390927 |
DOIs | |
Publication status | Published - 8 Dec 2021 |
Event | VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology - Osaka, Japan Duration: 8 Dec 2021 → 10 Dec 2021 https://vrst.acm.org/vrst2021/ |
Conference
Conference | VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology |
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Country/Territory | Japan |
City | Osaka |
Period | 08/12/2021 → 10/12/2021 |
Internet address |
Keywords
- Large objects
- Precise object manipulation
- Small objects
- Virtual docking
- Virtual object manipulation
- Virtual reality
Fingerprint
Dive into the research topics of 'An Evaluation of Methods for Manipulating Virtual Objects at Different Scales'. Together they form a unique fingerprint.Projects
- 1 Finished
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AAIVR: Animation Authoring for Industrial VR Applications: Integrating Deep Learning and Motion Paths
Gaarsdal, J. (PI), Madsen, C. B. (Supervisor) & Wolff, S. (Supervisor)
01/02/2021 → 31/01/2024
Project: Research
Activities
- 1 Conference organisation or participation
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VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology
Gaarsdal, J. (Participant)
8 Dec 2021 → 10 Dec 2021Activity: Attending an event › Conference organisation or participation
Research output
- 1 Citations
- 1 PhD thesis
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Animation Authoring for Industrial VR Applications: Integrating Deep Learning and Motion Paths
Gaarsdal, J., 2024, Aalborg University Open Publishing. 180 p.Research output: PhD thesis
Open AccessFile63 Downloads (Pure)