DocumentCode :
2793023
Title :
Learning and identifying haptic icons under workload
Author :
Chan, Andrew ; MacLean, Karon ; McGrenere, Joanna
Author_Institution :
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
fYear :
2005
fDate :
18-20 March 2005
Firstpage :
432
Lastpage :
439
Abstract :
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.
Keywords :
force feedback; haptic interfaces; haptic icons; vibrotactile haptic feedback; vibrotactile icons; Auditory displays; Collaborative work; Computer science; Context awareness; Feedback; Haptic interfaces; Manufacturing; Protocols; Testing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Eurohaptics Conference, 2005 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005. World Haptics 2005. First Joint
Print_ISBN :
0-7695-2310-2
Type :
conf
DOI :
10.1109/WHC.2005.86
Filename :
1406966
Link To Document :
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