at Google ScholarTitle data
Qvist Jensen, Soren ; Fender, Andreas ; Müller, Jörg:
Inpher : Inferring Physical Properties of Virtual Objects from Mid-Air Interaction.
In:
CHI '18 : Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. -
New York
,
2018
. - No. 530
ISBN 978-1-4503-5620-6
DOI: https://doi.org/10.1145/3173574.3174104
Abstract in another language
We present Inpher, a virtual reality system for setting physical properties of virtual objects using mid-air interaction. Users simply grasp virtual objects and mimic their desired physical movement. The physical properties required to fulfill that movement will then be inferred directly from that motion. We provide a 3D user interface that does not require users to have an abstract model of physical properties. Our approach leverages users' real world experiences with physics. We conducted a bodystorming to investigate users' mental model of physics. Based on our iterative design process, we implemented techniques for inferring mass, bounciness and friction. We conducted a case study with 15 participants with varying levels of physics education. The results indicate that users are capable of demonstrating the required interactions and achieve satisfying results.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works |
| Date Deposited: | 12 Jul 2019 08:05 |
| Last Modified: | 24 Jul 2019 06:31 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/51432 |