Abstract
Touching objects in a virtual environment is a challenge that has yet to be addressed convincingly, in part because haptic technology and, in particular, low-cost haptic technology have strong limitations. This work aimed at assessing the impact of Chai3D texture rendering parameters on texture perception. We used Multidimensional Scaling techniques to build psychological scales for the texture level, stiffness, dynamic friction and several texture patterns. Two perceptual dimensions were in general necessary to fully account for the one-dimensional parameter change. The scales for the texture level, dynamic friction and texture pattern parameters were markedly larger than the stiffness scale, indicating the potential of these parameters to generate well differentiated textures.
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References
Choi, S., Tan, H.Z.: Effect of update rate on perceived instability of virtual haptic texture. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), vol. 4, pp. 3577–3582 (2004)
Choi, S., Walker, L., Tan, H.Z., Crittenden, S., Reifenberger, R.: Force constancy and its effect on haptic perception of virtual surfaces. ACM Trans. Appl. Percept. (TAP) 2(2), 89–105 (2005)
Conti, F., Barbagli, F., Morris D., Sewell, C.: CHAI 3D - an open-source library for the rapid development of haptic scenes. In: First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Pisa, Italy. Hands-On-Demo (2005)
Culbertson, H., Unwin, J., Goodman, B.E., Kuchenbecker, K.J.: Generating haptic texture models from unconstrained tool-surface interactions. In: World Haptics Conference (WHC), pp. 295–300. IEEE, April 2013
Culbertson, H., Unwin, J., Kuchenbecker, K.J.: Modeling and rendering realistic textures from unconstrained tool-surface interactions. IEEE Trans. Haptics 7(3), 381–393 (2014)
Hollins, M., Faldowski, R., Rao, S., Young, F.: Perceptual dimensions of tactile surface texture: a multidimensional scaling analysis. Percept. Psychophys. 54(6), 697–705 (1993)
Hollins, M., Bensmaia, S.J., Karlof, K., Young, F.: Individual differences in perceptual space for tactile textures: evidence from multidimensional scaling. Percept. Psychophys. 62, 1534–1544 (2000)
Jones, L.A., Hunter, I.W.: A perceptual analysis of stiffness. Exp. Brain Res. 79(1), 150–156 (1990)
Klatzky, R.L., Lederman, S.J., Hamilton, C., Grindley, M., Swendsen, R.H.: Feeling textures through a probe: effects of probe and surface geometry and exploratory factors. Atten. Percept. Psychophys. 65(4), 613–631 (2003)
Kornbrot, D., Penn, P., Petrie, H., Furner, S., Hardwick, A.: Roughness perception in haptic virtual reality for sighted and blind people. Percept. Psychophys. 69(4), 502–512 (2007)
Kuchenbecker, K.J., Fiene, J., Niemeyer, G.: Event-based haptics and acceleration matching: portraying and assessing the realism of contact. In: Eurohaptics Conference, 2005 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, World Haptics 2005, pp. 381–387 (2005)
LaMotte, R.H.: Softness discrimination with a tool. J. Neurophysiol. 83(4), 1777–1786 (2000)
Mardia, K.V.: Some properties of classical multidimensional scaling. Commun. Stat. – Theory. Methods A7, 1233–1241 (1978)
McMahan, W., Romano, J.M., Rahuman, A.M.A., Kuchenbecker, K.J.: High frequency acceleration feedback significantly increases the realism of haptically rendered textured surfaces. In: 2010 IEEE Haptics Symposium, pp. 141–148, March 2010
Okamoto, S., Nagano, H., Yamada, Y.: Psychophysical dimensions of tactile perception of textures. IEEE Trans. Haptics 6(1), 81–93 (2013)
Otaduy, M.A., Lin, M.C.: Rendering of textured objects. In: Lin, M., Otaduy, M. (eds.) Haptic Rendering: Foundations, Algorithms, and Applications, Natick, MA, USA, pp. 371–393 (2008)
R Development Core Team: R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2008). ISBN 3-900051-07-0. http://www.R-project.org
Ruspini, D.C., Kolarov, K., Khatib, O.: Haptic interaction in virtual environments. In: Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1997, vol. 1, pp. 128–133. IEEE, September 1997
Salisbury, K., Brock, D., Massie, T., Swarup, N., Zilles, C.: Haptic rendering: programming touch interaction with virtual objects. In: Proceedings of the 1995 Symposium on Interactive 3D graphics, pp. 123–130. ACM (1995)
Tan, H.Z., Durlach, N.I., Beauregard, G.L., Srinivasan, M.A.: Manual discrimination of compliance using active pinch grasp: the roles of force and work cues. Atten. Percept. Psychophys. 57(4), 495–510 (1995)
Torgerson, W.S.: Theory and Methods of Scaling. Wiley, Oxford (1958)
van Beers, R.J., Wolpert, D.M., Haggard, P.: When feeling is more important than seeing in sensorimotor adaptation. Curr. Biol. 12(10), 834–837 (2002)
Walker, L., Tan, H.Z.: A perceptual study on haptic rendering of surface topography when both surface height and stiffness vary. In: Proceedings of 12th International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS 2004, pp. 138–145. IEEE, March 2004
Yoshioka, T., Bensmaia, S.J., Craig, J.C., Hsiao, S.S.: Texture perception through direct and indirect touch: an analysis of perceptual space for tactile textures in two modes of exploration. Somatosens. Mot. Res. 24(1–2), 53–70 (2007)
Zilles, C.B., Salisbury, J.K.: A constraint-based god-object method for haptic display. In: Proceedings of 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems 95. ‘Human Robot Interaction and Cooperative Robots’, vol. 3, pp. 146–151. IEEE, August 1995
Acknowledgments
This study was in part funded by the weDRAW project from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 732391 (https://wedraw.eu/). The content of this publication is the sole responsibility of the authors. We thank anonymous reviewers for their helpful comments on a previous version of this manuscript.
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Balzarotti, N., Baud-Bovy, G. (2018). Effects of Chai3D Texture Rendering Parameters on Texture Perception. In: Prattichizzo, D., Shinoda, H., Tan, H., Ruffaldi, E., Frisoli, A. (eds) Haptics: Science, Technology, and Applications. EuroHaptics 2018. Lecture Notes in Computer Science(), vol 10893. Springer, Cham. https://doi.org/10.1007/978-3-319-93445-7_13
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