VIDEOPLACE—an artificial reality
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Issues and techniques in touch-sensitive tablet input
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
DiamondTouch: a multi-user touch technology
Proceedings of the 14th annual ACM symposium on User interface software and technology
Pseudo-Haptic Feedback: Can Isometric Input Devices Simulate Force Feedback?
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Feeling bumps and holes without a haptic interface: the perception of pseudo-haptic textures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Precise selection techniques for multi-touch screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PreSenseII: bi-directional touch and pressure sensing interactions with tactile feedback
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Mechanical constraints as computational constraints in tabletop tangible interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
3D-press: haptic illusion of compliance when pressing on a rigid surface
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
| Hi-index | 0.00 |
In this paper we show that virtual objects manipulated on a tabletop interaction device can be augmented to provide the illusion they have a weight. This weight offers a supplemental channel to provide information about graphical objects without cluttering the visual display. To create such a pseudo-weight illusion on a passive device, the pressure applied with the fingers during the interaction has to be captured. We show that this pressure can be estimated without hardware modification on some touch sensitive tabletop setups (e.g., MERL's DiamondTouch). Two controlled experiments show that pseudo-weight is perceived effectively. The first one demonstrates that users, without training and without previous knowledge of the system, can accurately rank virtual objects according to their pseudo-weights, provided they are sufficiently distinct. The second controlled experiment investigates more formally the relation between the pseudo-weight and the actual perception of the users.