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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
Andrew Chan, University of British Columbia
Karon MacLean, University of British Columbia
Joanna McGrenere, University of British Columbia

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
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