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Issue No.02 - April-June (2009 vol.2)
pp: 94-102
Akihiro Sato , McGill University, Montreal
Maarten W.A. Wijntjes , Utrecht University, The Netherlands
Astrid M.L. Kappers , Utrecht University, The Netherlands
Prior studies have shown that local surface orientation is a dominant source of information for haptic curvature perception in static conditions. We show that this dominance holds for dynamic touch, just as was shown earlier for static touch. Using an apparatus specifically developed for this purpose, we tested this hypothesis by providing observers with two independently controlled sources of geometric information. The robotic-like apparatus could accurately control the position of a contact surface independently from its orientation in space, while allowing subjects to freely and actively explore virtual shapes in the lateral direction. In the first experiment, we measured discrimination thresholds for the two types of shape information and compared the discrimination of real shapes to that of virtual shapes. The results confirmed the dominance of local surface orientation. We propose a model that predicts cue dominance for different scales of exploration. In the second experiment, we investigated whether a virtual curved surface felt as curved as a real curved surface. We found that observers did not systematically judge either of the two kinds of stimuli to be more curved than the other. More importantly, we found that points of subjective curvedness were not influenced by the availability of height information.
Haptic curvature perception, haptic devices, real and virtual shapes.
Akihiro Sato, Maarten W.A. Wijntjes, Astrid M.L. Kappers, "Local Surface Orientation Dominates Haptic Curvature Discrimination", IEEE Transactions on Haptics, vol.2, no. 2, pp. 94-102, April-June 2009, doi:10.1109/TOH.2009.1
[1] V. Hayward, “Haptic Shape Cues, Invariants, Priors, and Interface Design,” Human Haptic Perception—Basics and Applications, M.Grünwald, ed., pp. 381-392, Birkhauser Verlag, 2008.
[2] I. Gordon and V. Morison, “The Haptic Perception of Curvature,” Perception and Psychophysics, vol. 31, pp. 446-450, 1982.
[3] S.C. Pont, A.M.L. Kappers, and J.J. Koenderink, “Similar Mechanisms Underlie Curvature Comparison by Static and Dynamic Touch,” Perception and Psychopysics, vol. 61, no. 5, pp.874-894, 1999.
[4] H. Dostmohamed and V. Hayward, “Trajectory of Contact Region on the Fingerpad Gives the Illusion of Haptic Shape,” Experimental Brain Research, vol. 164, no. 3, pp. 387-394, 2005.
[5] G. Robles-De La-Torre and V. Hayward, “Force Can Overcome Object Geometry in the Perception of Shape Through Active Touch,” Nature, vol. 412, pp. 445-448, 2001.
[6] K. Drewing and M.O. Ernst, “Integration of Force and Position Cues for Shape Perception through Active Touch,” Brain Research, vol. 1078, pp. 92-100, 2006.
[7] D.Y.P. Henriques and J.F. Soechting, “Bias and Sensitivity in the Haptic Perception of Geometry,” Experimental Brain Research, vol. 150, no. 1, pp. 95-108, 2003.
[8] A.E. Kirkpatrick and S.A. Douglas, “A Shape Recognition Benchmark for Evaluating Usability of a Haptic Environment,” Proc. First Int'l. Workshop Haptic Human-Computer Interaction, S. Brewster and R. Murray-Smith, eds., pp. 151-156, Springer Verlag, 2002.
[9] V. Hayward, “Display of Haptic Shape at Different Scales,” Proc. Eurohaptics, pp. 20-27, 2004.
[10] M.W.A. Wijntjes, A. Sato, A.K.L. Kappers, and V. Hayward, “Haptic Perception of Real and Virtual Curvature,” Haptics: Perception, Devices and Scenarios, vol. 5024, ser. Lecture Notes in Computer Science, pp. 361-366, 2008.
[11] A.W. Goodwin, K.T. John, and A.H. Marceglia, “Tactile Discrimination of Curvature by Humans Using Only Cutaneous Information from the Fingerpads,” Experimental Brain Research, vol. 86, pp. 663-672, 1991.
[12] S. Coren, The Left-Hander Syndrome. Vintage Books, 1993.
[13] F. Wichmann and N. Hill, “The Psychometric Function I: Fitting, Sampling and Goodness of Fit,” Perception and Psychophysics, vol. 63, no. 8, pp. 1293-1313, 2001.
[14] B.J. van der Horst and A.M.L. Kappers, “Curvature Discrimination in Various Finger Conditions,” Experimental Brain Research, vol. 177, no. 3, pp. 304-311, 2007.
[15] O. Portillo-Rodriguez, C.A. Avizzano, M. Bergamasco, and G. Robles-De La-Torre, “Haptic Rendering of Sharp Objects Using Lateral Forces,” Proc. IEEE Int'l Symp. Robot and Human Interactive Comm. (RO-MAN '06), pp. 431-436, 2006.
[16] J.J. Clark and A.L. Yuille, Data Fusion for Sensory Information Processing Systems. Kluwer, 1990.
[17] S. Louw, A.M.L. Kappers, and J.J. Koenderink, “Haptic Detection Thresholds of Gaussian Profiles over the Whole Range of Spatial Scales,” Experimental Brain Research, vol. 132, pp. 369-374, 2000.
[18] W.R. Provancher, M.K. Cutkosky, K.J. Kuchenbecker, and G. Niemeyer, “Contact Location Display for Haptic Perception of Curvature and Object Motion,” Int'l J. Robotics Research, vol. 24, no. 9, pp. 1-11, 2005.
[19] Y. Yokokohji, N. Muramori, Y. Sato, and T. Yoshikawa, “Designing an Encountered-Type Haptic Display for Multiple Fingertip Contacts Based on the Observation of Human Grasping Behaviors,” Int'l J. Robotics Research, vol. 24, no. 9, pp. 717-729, 2005.
[20] M. Solazzi, A. Frisoli, F. Salsedo, and M. Bergamasco, “A Fingertip Haptic Display for Improving Local Perception of Shape Cues,” Proc. Second Joint Eurohaptics Conf. and Symp. Haptic Interfaces for Virtual Environment and Teleoperator Systems, World Haptics 2007, pp. 409-414, 2007.
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