First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'05) Learning and Identifying Haptic Icons under Workload Pisa, Italy March 18-March 20 ISBN: 0-7695-2310-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WHC.2005.86
This work addresses the use of vibrotactile haptic feedback to transmit background information with variable intrusiveness, when recipients are engrossed in a primary visual and/or auditory task. We describe two studies designed to (a) perceptually optimize a set of vibrotactile "icons" and (b) evaluate users' ability to identify them in the presence of varying degrees of workload. Seven icons learned in approximately 3 minutes were each typically identified within 2.5 s and at 95% accuracy in the absence of workload. An extended version of this paper can be found as a technical report at http://www.cs.ubc.ca/labs/spin/.
Citation:
Andrew Chan, Karon MacLean, Joanna McGrenere, "Learning and Identifying Haptic Icons under Workload," whc, pp.432-439, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||