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Improving the Prediction of Haptic Impression User Ratings Using Perception-Based Weighting Methods: Experimental Evaluation

Hatzfeld, Christian and Kern, Thorsten A. and Werthschützky, Roland
Kappers, Astrid M. L. and van Erp, Jan B. F. and Bergmann Tiest, Wouter M. and van der Helm, Frans C. T. (eds.) (2010):
Improving the Prediction of Haptic Impression User Ratings Using Perception-Based Weighting Methods: Experimental Evaluation.
In: Haptics: Generating and Perceiving Tangible Sensations, Heidelberg, Springer, pp. 93-98, [Online-Edition: http://dx.doi.org/10.1007/978-3-642-14064-8_14],
[Book Section]

Item Type: Book Section
Erschienen: 2010
Editors: Kappers, Astrid M. L. and van Erp, Jan B. F. and Bergmann Tiest, Wouter M. and van der Helm, Frans C. T.
Creators: Hatzfeld, Christian and Kern, Thorsten A. and Werthschützky, Roland
Title: Improving the Prediction of Haptic Impression User Ratings Using Perception-Based Weighting Methods: Experimental Evaluation
Language: English
Title of Book: Haptics: Generating and Perceiving Tangible Sensations
Series Name: Lecture Notes on Computer Science (LNCS)
Volume: 1
Number: 6191
Place of Publication: Heidelberg
Publisher: Springer
ISBN: 978-3-642-14063-1
Uncontrolled Keywords: FIP, haptic impression, user rating, system design
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design > Measurement and Sensor Technology
Date Deposited: 23 Aug 2010 07:01
Official URL: http://dx.doi.org/10.1007/978-3-642-14064-8_14
Identification Number: doi:10.1007/978-3-642-14064-8_14
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The prediction of haptic impressions of objects is an interesting topic for system designers. Valid prediction schemes would help to evaluate systems in an early stage of development. This paper investigates the approach of weighting mechanical measurements with three perception-inspired weighting procedures to obtain more accurate predictions of user ratings. Experiments are conducted using a set of five light switches as common examples for passive haptic control elements. The results imply that user ratings are mainly based on tactile information in the range of 10 to 1000 Hz, which is not covered completely by current industrial measurement procedures.English
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