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

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Haptics: Generating and Perceiving Tangible Sensations (EuroHaptics 2010)

Abstract

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.

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Hatzfeld, C., Kern, T.A., Werthschützky, R. (2010). Improving the Prediction of Haptic Impression User Ratings Using Perception-Based Weighting Methods: Experimental Evaluation. In: Kappers, A.M.L., van Erp, J.B.F., Bergmann Tiest, W.M., van der Helm, F.C.T. (eds) Haptics: Generating and Perceiving Tangible Sensations. EuroHaptics 2010. Lecture Notes in Computer Science, vol 6191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14064-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-14064-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14063-1

  • Online ISBN: 978-3-642-14064-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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