Skip to main content
Log in

Haptic discrimination of virtual surface slope

  • Original Article
  • Published:
Virtual Reality Aims and scope Submit manuscript

Abstract

We report the difference thresholds of the slope of a virtual surface rendered via a force–feedback haptic interface with the body frontal plane as a reference. The factors varied in experiments were the stiffness of a virtual plane, the lateral velocity with which the haptic probe scanned the plane, the length of a scanning interval, the movement direction of the probe to the body frontal plane (toward or away from the body), and lateral scanning direction (left-to-right or right-to-left). Measured slope thresholds ranged from 8.33° to 12.74° and were generally higher than or similar to previously published thresholds for haptic orientation or angle discrimination. The results suggested that haptic slope discriminability was independent of surface stiffness and lateral scanning velocity. Slope discrimination was largely affected by the lateral scan distance, indicating that the terminal difference of probe normal position can be an important sensory cue. In terms of scan direction, inward or rightward scans resulted in better slope discrimination than outward or leftward scans, respectively. These thresholds and findings have implications for haptics applications that involve geometric model modification or simplification of virtual objects while preserving their perceptual properties.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Notes

  1. Let θ i be the plane slope at the i th trial. Then for \(\Updelta \theta\) in dB,

    $$ \theta_{i+1} = 10^{\frac{\Updelta \theta}{20}} \; \theta_i. $$
    (9)
  2. For more strict comparison, our thresholds can be converted to 75 % thresholds using a psychometric function estimation method from adaptive staircase data [e.g., Leek et al. (1992); Kontsevich and Tyler (1999)]. However, according to Leek et al. (1992), the numbers of trials of our experiments (about 50–100) is so small that excessive bias would result in the estimated function slope. Hence, we just present the original thresholds.

References

  • Barbagli F, Salisbury K, Ho C, Spence C, Tan HZ (2006) Haptic discrimination of force direction and the influence of visual information. ACM Trans Appl Percept 3(2):125–135

    Article  Google Scholar 

  • van Beers RJ, Sittig AC, van der Gon JJD (1998) The precision of proprioceptive position sense. Exp Brain Res 122(4):367–377

    Article  Google Scholar 

  • Brisben AJ, Hsiao SS, Johnson KO (1999) Detection of vibration transmitted through an object grasped in the hand. J Neurophysiol 81(4):1548–1558

    Google Scholar 

  • Cheon J, Hwang I, Han K, Choi S (2008) Haptizing a surface height change with varying stiffness based on force constancy: extended algorithm. In: Proceedings of the symposium on haptic interfaces for virtual environments and teleoperator systems, IEEE computer society, pp 193–200

  • Chib VS, Patton JL, Lynch KM, Mussa-Ivaldi FA (2006) Haptic identification of surfaces as fields of force. J Neurophysiol 95(2):1068–1077

    Article  Google Scholar 

  • Choi S, Tan HZ (2004) Perceived instability of virtual haptic texture. I. Experimental studies. Presence 13(4):395–415

    Article  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(2):89–105

    Article  Google Scholar 

  • Drewing K, Ernst MO (2006) Integration of force and position cues for shape perception through active touch. Brain Res 1078(1):92–100

    Article  Google Scholar 

  • Fasse ED, Hogan N, Kay BA, Mussa-Ivaldi FA (2000) Haptic interaction with virtual objects: spatial perception and motor control. Biol Cybern 82(1):69–83

    Article  Google Scholar 

  • Garland M (1999) Multiresolution modeling: survey and future opportunities. In: Proceedings of Eurographics on state of the art report, pp 111–131

  • Giachritsis CD, Wing AM, Lovell PG (2009) The role of spatial integration in the perception of surface orientation with active touch. Atten Percept Psychophys 71(7):1628–1640

    Article  Google Scholar 

  • Haggard P, Newman C, Blundell J, Andrew H (2000) The perceived position of the hand in space. Percept Psychophys 68(2):363–377

    Article  Google Scholar 

  • Henriques DYP, Soechting JF (2003) Bias and sensitivity in the haptic perception of geometry. Exp Brain Res 150(1):95–108

    Google Scholar 

  • Hinterseer P, Steinbach E (2006) A psychophysically motivated compression approach for 3D haptic data. In: Proceedings of the symposium on haptic interfaces for virtual environment and teleoperator systems, IEEE, pp 35–41

  • van der Horst BJ, Kappers AML (2007) Curvature discrimination in various finger conditions. Exp Brain Res 177(3):304–311

    Article  Google Scholar 

  • Kappers AML, Koenderink JJ (1999) Haptic perception of spatial relations. Perception 28(6):781–795

    Article  Google Scholar 

  • Knill DC (1998) Discrimination of planar surface slant from texture: human and ideal observers compared. Vision Res 38(11):1683–1711

    Article  Google Scholar 

  • Knox JJ, Hodges PW (2005) Changes in head and neck position affect elbow joint position sense. Exp Brain Res 165(1):107–113

    Article  Google Scholar 

  • Kontsevich LL, Tyler CW (1999) Bayesian adaptive estimation of psychometric slope and threshold. Vision Res 39:2729–2737

    Article  Google Scholar 

  • Kuschel M, Kremer P, Hirche S, Buss M (2006) Lossy data reduction methods for haptic telepresence systems. In: Proceedings of the IEEE international conference on robotics and automation, pp 2933–2938

  • Leek MR, Hanna TE, Marshall L (1992) Estimation of psychometric functions from adaptive tracking procedures. Percept Psychophys 51(3):247–256

    Article  Google Scholar 

  • Levitt H (1971) Transformed up-down methods in psychoacoustics. J Acoust Soc Am 49:467–477

    Article  Google Scholar 

  • Lin MC, Otaduy MA (eds) (2008) Haptic rendering: foundations, algorithms, and applications. AK Peters, Wellesley, MA

    Google Scholar 

  • Louw S, Kappers AML, Koenderink JJ (2000) Haptic detection thresholds of gaussian profiles over the whole range of spatial scales. Exp Brain Res 132(3):369–374

    Article  Google Scholar 

  • Louw S, Kappers AML, Koenderink JJ (2002) Active haptic detection and discrimination of shape. Percept Psychophys 64(7):1108–1119

    Article  Google Scholar 

  • Morioka M, Griffin MJ (2005) Thresholds for the perception of hand-transmitted vibration: dependence on contact area and contact location. Somatosens Mot Res 22(4):281–297

    Article  Google Scholar 

  • Mussa-Ivaldi FA, Hogan N, Bizzi E (1985) Neural, mechanical, and geometric factors subserving arm posture in humans. J Neurosci 5(10):2732–2743

    Google Scholar 

  • Payandeh S, Dill J, Zhang J (2005) A study of level-of-detail in haptic rendering. ACM Trans Appl Percept 2(1):15–34

    Article  Google Scholar 

  • Prattichizzo D, Barni M, Menegaz G, Formaglio A, Tan HZ, Choi S (2007) Perceptual issues in haptic digital watermarking. IEEE Multimedia 14(3):84–91

    Article  Google Scholar 

  • Shelton BR, Scarrow I (1984) Two-alternative versus three-alternative procedures for threshold estimation. Percept Psychophys 35(4):385–392

    Article  Google Scholar 

  • Voisin J, Benoit G, Chapman EC (2002a) Haptic discrimination of object shape in humans: two-dimensional angle discrimination. Exp Brain Res 145(2):239–250

    Article  Google Scholar 

  • Voisin J, Lamarre Y, Chapman EC (2002b) Haptic discrimination of object shape in humans: contribution of cutaneous and proprioceptive inputs. Exp Brain Res 145(2):251–260

    Article  Google Scholar 

  • Weisstein EW (2010) Point-plane distance. From MathWorld—a wolfram web resource. http://mathworld.wolfram.com/Point-PlaneDistance.html

  • Zadeh MH, Wang D, Kubica E (2008) Perception-based lossy haptic compression considerations for velocity-based interactions. Multimedia Syst 13(4):275–282

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Research Foundation of Korea (NRF) grant (No. 2013R1A2A2A01016907 and No. 2011-0027995) and by the ITRC (Information Technology Research Center) support program (NIPA-2013-H0301-13-3005) supervised by the NIPA (National IT Industry Promotion Agency), all funded by the Korea government (MSIP).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Inwook Hwang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hwang, I., Yim, S. & Choi, S. Haptic discrimination of virtual surface slope. Virtual Reality 17, 205–218 (2013). https://doi.org/10.1007/s10055-013-0226-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10055-013-0226-9

Keywords