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

  • Christian Hatzfeld
  • Thorsten A. Kern
  • Roland Werthschützky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6191)

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.

Keywords

FIP haptic impression user rating system design 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Christian Hatzfeld
    • 1
  • Thorsten A. Kern
    • 1
  • Roland Werthschützky
    • 1
  1. 1.Institute for Electromechanical DesignTechnische Universität DarmstadtDarmstadt

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