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Haptic Scene Analysis: Mechanical Property Separation Despite Parasitic Dynamics

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Haptics: Science, Technology, and Applications (EuroHaptics 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10893))

Abstract

The physical mass and damping of a haptic device contribute features that can be considered parasitic in that they potentially mask the virtual environment the user is intended to feel. On the other hand, users are generally able to adapt to the mechanical properties of physical tools and concentrate on the dynamics of task objects in the environment. It would be unsurprising, then, if humans were also able to ignore parasitic effects and focus on the mechanical properties of interest within a rendered environment. In this work, we explore a particular parasitic effect (damping) and its impact on the perception of stiffness. We examine the various perceptual impacts of predictable or unpredictable levels of damping. We find that, overall, humans are quite capable of ignoring damping to focus on stiffness, but that this ability may be hampered in the presence of unpredictable damping.

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References

  1. van Beek, F.E., Heck, D.J.F., Nijmeijer, H., Tiest, W.M.B., Kappers, A.M.: The effect of global and local damping on the perception of hardness. IEEE Trans. Haptics 9(3), 409–420 (2016)

    Article  Google Scholar 

  2. Bergmann Tiest, W.M.: Tactual perception of material properties. Vis. Res. 50, 2775–2782 (2010)

    Article  Google Scholar 

  3. Bregman, A.S.: Auditory Scene Analysis: The Perceptual Organization of Sound, vol. 159. MIT Press, Cambridge (1990)

    Google Scholar 

  4. Carignan, C.R., Cleary, K.R.: Closed-loop force control for haptic simulation of virtual environments. Haptics-e 1(2), 1–14 (2000)

    Google Scholar 

  5. Cherry, E.C.: Some experiments on the recognition of speech, with one and with two ears. J. Acoust. Soc. Am. 25(5), 975–979 (1953)

    Article  Google Scholar 

  6. Colgate, J.E.: On the intrinsic limitations of force feedback compliance controllers. In: Youcef-Toumi, K., Kazerooni, H. (eds.) Robotics Research. ASME (1989)

    Google Scholar 

  7. Colonnese, N., Okamura, A.M.: Analysis of effective impedance transmitted to the operator in position-exchange bilateral teleoperation. In: IEEE World Haptics Conference, Fürstenfeldbruck, vol. 2, pp. 328–333 (2017)

    Google Scholar 

  8. Colonnese, N., Siu, A.F., Abbott, C.M., Okamura, A.M.: Rendered and characterized closed-loop accuracy of impedance-type haptic displays. IEEE Trans. Haptics 8(4), 434–446 (2015)

    Article  Google Scholar 

  9. Griffiths, P.G., Gillespie, R.B., Freudenberg, J.S.: A fundamental tradeoff between performance and sensitivity within haptic rendering. IEEE Trans. Robot. 24(3), 537–548 (2008)

    Article  Google Scholar 

  10. Han, G., Choi, S.: Extended rate-hardness: a measure for perceived hardness. In: Kappers, A.M.L., van Erp, J.B.F., Bergmann Tiest, W.M., van der Helm, F.C.T. (eds.) EuroHaptics 2010. LNCS, vol. 6191, pp. 117–124. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14064-8_18

    Chapter  Google Scholar 

  11. Jones, L.A., Tan, H.Z.: Application of psychophysical techniques to haptic research. IEEE Trans. Haptics 6(3), 268–284 (2013)

    Article  Google Scholar 

  12. Lawrence, D.A., Pao, L.Y., Dougherty, A.M., Salada, M.A., Pavlou, Y.: Rate-hardness: a new performance metric for haptic interfaces. IEEE Trans. Robot. Autom. 16(4), 357–371 (2000)

    Article  Google Scholar 

  13. Lederman, S., Klatzky, R.: Haptic perception: a tutorial. Attention, Percept. Psychophys. 71(7), 1439–1459 (2009)

    Article  Google Scholar 

  14. Mehling, J.S., Colgate, J.E., Peshkin, M.A.: Increasing the impedance range of a haptic display by adding electrical damping. In: 1st Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 257–262. IEEE (2005)

    Google Scholar 

  15. Mihelj, M., Podobnik, J.: Haptics for Virtual Reality and Teleoperation. Intelligent Systems, Control and Automation: Science and Engineering, vol. 64. Springer, Heidelberg (2012). https://doi.org/10.1007/978-94-007-5718-9

    Book  Google Scholar 

  16. Rank, M., Schauß, T., Peer, A., Hirche, S., Klatzky, R.L.: Masking effects for damping JND. In: Isokoski, P., Springare, J. (eds.) EuroHaptics 2012. LNCS, vol. 7283, pp. 145–150. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31404-9_25

    Chapter  Google Scholar 

  17. Treadway, E., Gillespie, R.B.: The impact of high-frequency haptic device behavior on perception. In: Haptics Symposium, pp. 52–57. IEEE, San Francisco (2018)

    Google Scholar 

  18. Treadway, E., Yang, Y., Gillespie, R.B.: Decomposing the performance of admittance and series elastic haptic rendering architectures. In: IEEE World Haptics Conference, pp. 346–351. IEEE, Fürstenfeldbruck (2017)

    Google Scholar 

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Acknowledgments

This research was supported by NSF grant DGE 1256260. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Correspondence to Emma Treadway .

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Treadway, E., Cutlip, S., Gillespie, R.B. (2018). Haptic Scene Analysis: Mechanical Property Separation Despite Parasitic Dynamics. 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_21

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  • DOI: https://doi.org/10.1007/978-3-319-93445-7_21

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  • Print ISBN: 978-3-319-93444-0

  • Online ISBN: 978-3-319-93445-7

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