Feel the information with VisPad: a large area vibrotactile device
Information Visualization
Projection augmented models: the effect of haptic feedback on subjective and objective human factors
Proceedings of the 6th international conference on Multimodal interfaces
A study of level-of-detail in haptic rendering
ACM Transactions on Applied Perception (TAP)
Haptic comparison of size (relative magnitude) in blind and sighted people
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
Dependability issues in visual-haptic interfaces
Journal of Visual Languages and Computing
Development of AHP model for telematics haptic interface evaluation
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
VisPad: a novel device for vibrotactile force feedback
HAPTICS'04 Proceedings of the 12th international conference on Haptic interfaces for virtual environment and teleoperator systems
A method for the verification of haptic algorithms
DSVIS'05 Proceedings of the 12th international conference on Interactive Systems: design, specification, and verification
Presence: Teleoperators and Virtual Environments
The new method for measuring absolute threshold of haptic force feedback
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
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A taxonomy of haptic modes is proposed as a basis for evaluating haptic interfaces. Haptic modes are defined as distinct styles of using haptic perception for purposeful activity. An evaluation method thatexercises a single haptic mode tests the hardware and software of the interface on a task that has a clear relationship to actual applications. To demonstrate this approach to evaluation, the mode of geometric perception was evaluated for a point force device. Twelve observers performed a shape recognition task using a PHANToM display. The task proved difficult, with a mean recognition time of 22 s. This class of devices does not appear to support adequate performance for applications that require geometric perception. The paper concludes with possible extensions to both the shape recognition protocol and the taxonomy of modes.