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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References
MacLean, K.: The Haptic Camera: A Technique for Characterizing and Playing back Haptic Properties of real Environments. In: IMECE (1996)
Colton, M.B., Hollerbach, J.M.: Reality-Based Haptic Force Models of Buttons and Switches. In: IEEE Int. Conf. on Robotics and Automation (2007)
Reisinger, J., Wild, J., Mauter, G., Bubb, H.: Haptical feeling of rotary switches. In: Proc. of the Eurohaptics Conf. (2006)
Anguelov, N.: Haptische und akustische Kenngrößen zur Objektivierung und Optimierung der Wertanmutung von Schaltern und Bedienfeldern für den KFZ-Innenraum. PhD thesis, TU Dresden, Fakultät Maschinenwesen (2009)
Rösler, F., Schüttler, F., Battenberg, G.: Subjective perceptions and objective characterisrtics of control elements. ATZ- Autotechnology (2009)
Zwicker, E., Fastl, H.: Psychoacoustics. Springer, Heidelberg (1999)
Kuchenbecker, K.J., Fiene, J., Niemeyer, G.: Improving Contact Realism Through Event-Based Haptic Feedback. IEEE Trans. on Visualization and Computer Graphics (2006)
Kern, T.A., Schaeffer, A., Werthschützky, R.: An Interaction Model for the Quantification of Haptic Impressions. In: Ferre, M. (ed.) EuroHaptics 2008. LNCS, vol. 5024, pp. 139–145. Springer, Heidelberg (2008)
Hatzfeld, C., Kern, T.A., Werthschützky, R.: Design and Evaluation of a Measuring System for Human Force Perception Parameters. Sensors And Actuators A: Physical (2010) (in press) doi:10.1016/j.sna.2010.01.026
Cholewiak, S., Kim, K., Tan, H., Adelstein, B.: A Frequency-Domain Analysis of Haptic Gratings. IEEE Trans. on Haptics (2009) (to be published)
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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
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