Abstract
The perception of linear stiffness, as well as delayed linear stiffness, was studied extensively during the last decades. In this study we set to explore the effects of non linear relation between force and position on perception of stiffness. We designed a state dependent non-linear force field, similar to the previously explored delayed force field, which is essentially a piecewise linear force field depending only on the position and the direction of movement and not on time. We show that the stiffness of this force field is overestimated. We suggest a model based on the inverse of the slope of a regression of position over force in order to explain these behavioral results, which indirectly implies that force control is used during this exploratory probing.
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References
Nisky, I., Mussa-Ivaldi, F.A., Karniel, A.: A Regression and Boundary-Crossing-Based Model for the Perception of Delayed Stiffness. IEEE Transactions on Haptics 1, 73–82 (2008)
Drewing, K., Ramisch, A., Bayer, F.: Haptic, visual and visuo-haptic softness judgments for objects with deformable surfaces. In: Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Salt Lake City, UT, USA (2009)
Jones, L.A., Hunter, I.W.: A perceptual analysis of stiffness. Experimental Brain Research 79, 150–156 (1990)
Wu, W.C., Basdogan, C., Srinivasan, M.A.: Visual, haptic, and bimodal perception of size and stiffness in virtual environments. ASME dynamic systems and control division 67, 19–26 (1999)
Jones, L.A.: Kinesthetic Sensing. Human and Machine Haptics. MIT Press, Cambridge (2000)
LaMotte, R.H.: Softness Discrimination With a Tool. Journal of Neurophysiology 83, 1777–1786 (2000)
Srinivasan, M.A., Lamotte, R.H.: Tactual Discrimination of Softness. Journal of Neurophysiology 73, 88–101 (1995)
Pressman, A., Welty, L.H., Karniel, A., Mussa-Ivaldi, F.A.: Perception of delayed stiffness. The International Journal of Robotics Research 26, 1191–1203 (2007)
Lawrence, D.A., Pao, L.Y., Dougherty, A.M., Salada, M.A., Pavlou, Y.: Rate-Hardness: A New Performance Metric for Haptic Interfaces. IEEE Transactions On Robotics And Automation 16, 357–371 (2000)
Scilingo, E.P., Bianchi, M., Grioli, G., Bicchi, A.: Rendering Softness: Integration of Kinaesthetic and Cutaneous Information in a Haptic Device. IEEE computer Society Digital Library, Los Alamitos (2010)
Pressman, A., Nisky, I., Karniel, A., Mussa-Ivaldi, F.A.: Probing Virtual Boundaries and the Perception of Delayed Stiffness. Advanced Robotics 22, 119–140 (2008)
Nisky, I., Baraduc, P., Karniel, A.: Proximodistal gradient in the perception of delayed stiffness. Journal of Neurophysiology (in press)
Okamura, A.M., Simone, C., O’Leary, M.D.: Force Modeling for Needle Insertion Into Soft Tissue. IEEE Transactions on Biomedical Engineering 51, 1707–1716 (2004)
Han, G., Jeon, S., Choi, S.: Improving perceived hardness of haptic rendering via stiffness shifting: an initial study. In: Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology, pp. 87–90. ACM, Kyoto (2009)
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Leib, R., Nisky, I., Karniel, A. (2010). Perception of Stiffness during Interaction with Delay-Like Nonlinear Force Field. 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_13
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DOI: https://doi.org/10.1007/978-3-642-14064-8_13
Publisher Name: Springer, Berlin, Heidelberg
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