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Exploratory Movement Strategies in Softness Perception

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Multisensory Softness

Part of the book series: Springer Series on Touch and Haptic Systems ((SSTHS))

Abstract

Perception during active touch essentially depends on the executed exploratory movements. Humans use different movement schemes to perceive different haptic properties, the so-called exploratory procedures (EPs). The stereotypically used EPs are normally superior to other EPs in perceiving the associated property and it has been speculated that the EPs are a means of maximising pickup of the relevant sensory information. However, EPs are not always executed identically as they vary in a number of ways. For instance, the peak force and the number of fingers used during exploration are not fixed. This chapter reviews existing findings on the exploratory movement strategies that humans use in softness perception and gives an overview on how different manners of exploration affect the performance in softness tasks. It is shown that observers adapt their movement strategies depending on variations of the stimulus value and the exact conditions of the exploratory task, and that different movement parameters, e.g. the peak exploratory forces, considerably affect performance. Overall, results suggest that humans adjust their exploratory strategies to achieve the highest levels of performance in softness discrimination.

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References

  • Ambrosi G, Bicchi A, Rossi DD, Scilingo EP (1999) The role of contact area spread rate in haptic discrimination of softness. In: Proceedings IEEE international conference on robotics and automation, pp 305–310

    Google Scholar 

  • Arzamarski R, Isenhower RW, Kay BA, Turvey MT, Michaels CF (2010) Effects of intention and learning on attention to information in dynamic touch. Atten Percept Psychophys 72:721–735

    Article  Google Scholar 

  • Bergmann Tiest WM, Kappers AML (2008) Kinesthetic and cutaneous contributions to the perception of compressibility. In: Ferre M (ed) Haptics: perception, devices and scenarios. Lecture notes in computer science, vol 5024. Springer, Heidelberg, pp 255–264

    Google Scholar 

  • Bicchi A, Scilingo E, Dente D, Sgambelluri N (2005) Tactile flow and haptic discrimination of softness in multi-point interaction with real and virtual objects. In: Barbagli F, Prattichizzo D, Salisbury K (eds) Series STAR: Springer tracts in advanced robotics, vol 18. Springer, Heidelberg, pp 165–176

    Google Scholar 

  • Choi S, Walker L, Tan HZ, Crittenden S, Reifenberger R (2005) Force constancy and its effect on haptic perception of virtual surfaces. ACM Trans Appl Percept 2:89–105

    Article  Google Scholar 

  • Debats NB, van de Langenberg RW, Kingma I, Smeets JBJ, Beek PB (2010) Exploratory movements determine cue weighting in haptic length perception of handheld rods. J Neurophysiol 104:2821–2830

    Article  Google Scholar 

  • Di Luca M, Knorlein B, Ernst MO, Harders M (2011) Effects of visual-haptic asynchronies and loading-unloading movements on compliance perception. Brain Res Bull 85(5):245–259

    Article  Google Scholar 

  • Drewing K, Kaim L (2009) Haptic shape perception from force and position signals varies with exploratory movement direction and the exploring finger. Atten Percept Psychophys 71:1174–1184

    Article  Google Scholar 

  • Drewing K (2012) After experience with the task humans actively optimize shape discrimination in touch by utilizing effects of exploratory movement direction. Acta Psychol 141:295–303

    Article  Google Scholar 

  • Drewing K, Lezkan A, Ludwig S (2011) Texture discrimination in active touch: effects of the extension of the exploration and their exploitation. In: Basodogan C, Choi S, Harders M, Jones L, Yokokohji Y (eds) Conference proceedings: IEEE World haptics conference 2011, The Institute of Electrical and Electronics Engineers (IEEE) Catalog number CFP11365-USB, pp 215–220

    Google Scholar 

  • Freyberger FKB, Färber B (2006) Compliance discrimination of deformable objects by squeezing with one and two fingers. Proceedings of eurohaptics, Paris, France, pp 271–276

    Google Scholar 

  • Friedman RM, Hester KD, Green BG, LaMotte RH (2008) Magnitude estimation of softness. Exp Brain Res 191:133–142

    Article  Google Scholar 

  • Fujita K, Oyama Y (1999) Control strategies in human pinch motion to detect the hardness of an object. IEEE SMC ’99 Conference proceedings, vol 2

    Google Scholar 

  • Gamzu E, Ahissar E (2001) Importance of temporal cues for tactile spatial-frequency discrimination. J Neurosci 21:7416–7427

    Google Scholar 

  • Gibson JJ (1962) Observations on active touch. Psychol Rev 69:477–490

    Article  Google Scholar 

  • Kaim L, Drewing K (2008) Exploratory movement parameters vary with stimulus stiffness. In: Ferre M (ed) Haptics: perception, devices and scenarios. Lecture notes in computer science, vol 5024. Springer: Heidelberg, pp 313–318

    Google Scholar 

  • Kaim L, Drewing K (2011) Exploratory strategies in haptic softness discrimination are tuned to achieve high levels of task performance. IEEE Trans Haptics 4:242–252

    Article  Google Scholar 

  • Kaim L, Drewing K (2014) Haptic softness discrimination of deformable objects by pressing with one or three fingers (unpublished raw data)

    Google Scholar 

  • Klatzky RL, Lederman SJ (1999) The haptic glance: a route to rapid object identification and manipulation. In: Gopher D, Koriat A (eds) Attention and performance XVII: cognitive regulation of performance: interaction of theory and application. Erlbaum, Mahwah, pp 165–196

    Google Scholar 

  • Klatzky RL, Lederman SJ, Reed CL (1989) Haptic integration of object properties: texture, hardness, and planar contour. J Exp Psychol Hum Percept Perform 15:45–57

    Article  Google Scholar 

  • LaMotte RH (2000) Softness discrimination with a tool. J Neurophysiol 83:1777–1786

    Google Scholar 

  • Lawrence DA, Pao LY, Dougherty AM, Salada MA, Pavlou Y (2000) Rate-hardness: a new performance metric for haptic interfaces. IEEE Trans Robot Autom 16:357–371

    Article  Google Scholar 

  • Lederman SJ, Klatzky RL (1987) Hand movements: a window into haptic object recognition. Cogn Psychol 19:342–368

    Article  Google Scholar 

  • Lederman SJ, Klatzky RL (1990) Haptic classification of common objects: knowledge-driven exploration. Cogn Psychol 22:421–459

    Article  Google Scholar 

  • Lederman SJ, Klatzky RL (1993) Extracting object properties through haptic exploration. Acta Psychol 84:29–40

    Article  Google Scholar 

  • Nefs HT, Kappers AML, Koenderink JJ (2002) Frequency discrimination between and within line gratings by dynamic touch. Percept Psychophys 64:969–980

    Article  Google Scholar 

  • Nicholson LL, Maher CG, Adams RD (1998) Hand contact area, force applied and early non-linear stiffness (toe) in manual stiffness discrimination task. Manual Therapy 3:212–219

    Article  Google Scholar 

  • Riley MA, Wagman JB, Santana M, Carello C, Turvey MT (2002) Perceptual behavior: recurrence analysis of a haptic exploratory procedure. Perception 31:481–510

    Article  Google Scholar 

  • Saig A, Gordon G, Assa E, Arieli A, Ahissar E (2012) Motor-sensory confluence in tactile perception. J Neurosci 32(40):14022–14032

    Article  Google Scholar 

  • Srinivasan MA, LaMotte RH (1995) Tactual discrimination of softness. J Neurophysiol 73:88–101

    Google Scholar 

  • Tan HZ, Durlach NI, Beauregard GL, Srinivasan MA (1995) Manual discrimination of compliance using active pinch grasp: the role of force and work and cues. Percept Psychophys 57:495–510

    Article  Google Scholar 

  • Tan HZ, Durlach NI, Shao Y, Wei M (1993) Manual resolution of compliance when work and force cues are minimized. In: Kazerooni H, Colgate JE, Adelstein B (eds) Advances in robotics, mechatronics, and haptic interfaces, vol 49. ASME, New Orleans, pp. 99–104

    Google Scholar 

  • [Wichmann and HillWichmann and Hill2001]bib33 Wichmann FA, Hill NJ (2001) The psychometric function: I. Fitting, sampling and goodness-of-fit. Percept Psychophys 63: 1293–1313

    Google Scholar 

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Acknowledgments

I wish to thank two anonymous reviewers and Alexandra Lezkan for their helpful criticisms, suggestions, and comments on an earlier draft, and Steven A. Cholewiak for native-speaker advice.

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Correspondence to Knut Drewing .

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Drewing, K. (2014). Exploratory Movement Strategies in Softness Perception. In: Di Luca, M. (eds) Multisensory Softness. Springer Series on Touch and Haptic Systems. Springer, London. https://doi.org/10.1007/978-1-4471-6533-0_6

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  • DOI: https://doi.org/10.1007/978-1-4471-6533-0_6

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