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Inpher : Inferring Physical Properties of Virtual Objects from Mid-Air Interaction

Title 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 > Lehrstuhl Angewandte Informatik VIII > Lehrstuhl Angewandte Informatik 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 > Lehrstuhl Angewandte Informatik 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