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HAPTICS
2005
IEEE

Learning and Identifying Haptic Icons under Workload

8 years 9 months ago
Learning and Identifying Haptic Icons under Workload
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/.
Andrew Chan, Karon E. MacLean, Joanna McGrenere
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where HAPTICS
Authors Andrew Chan, Karon E. MacLean, Joanna McGrenere
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