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HAPTICS
2005
IEEE

Learning and Identifying Haptic Icons under Workload

13 years 10 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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