Skip to main content
Log in

How do colors influence the haptic perception of textured surfaces?

  • Special issue on multimodality: a step towards universal access
  • Published:
Universal Access in the Information Society Aims and scope Submit manuscript

Abstract

Multimodality is considered a promising approach for universal access, and haptic interaction has the potential to constitute an added dimension to multimodal interfaces. This paper describes the influence of colors on the haptic perception of textured surfaces, based on 8 experiments. Our results show that (1) colors do have an influence on haptic perception, but they do not make the perception error rate higher than when no color is used; (2) up to 6 different types of colors can be used in haptic interfaces without worsening the haptic perception; (3) yellow has an error rate that is statistically significantly lower than that of 3 other color conditions, and can be used without worsening the haptic perception; (4) our finding of two special orders for haptic perception demonstrates that human haptic perception is very sensitive to continuously increasing or decreasing changes of roughness, but has difficulty discerning randomly changed roughness.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Akoumianakis D, Stephanidis C (2001) Re-thinking HCI in terms of universal design. In: Stephanidis C (ed) Universal Access in HCI: Towards an Information Society for All, vol 3. Lawrence Erlbaum Ass., London, pp 8–12

  2. Biggs SJ, Srinivasan MA (2002) Chapter 5: Haptic interfaces. In: Stanney K (ed) Handbook of Virtual Environment. Lawrence Earlbaum, London

  3. Carbonell N (2001) Recommendations for the design of usable multimodal command languages. In: Stephanidis C (ed) Universal Access in HCI: Towards an Information Society for All, vol 3. Lawrence Erlbaum Ass., London, pp 266–270

  4. Choi S, Tan HZ (2000) A parameter space for perceptually stable haptic texture rendering. Proc 5th PHANToM User Group (PUG) Workshop. Aspen, Colorado, USA, 28–30 October, pp 31–34

  5. Comalli PE, Wapner S, Werner H (1962) Interference effects of Stroop color-word test in childhood, adulthood, and aging. J Genet Psychol 100:47–53

    Google Scholar 

  6. Conway ARA, Engle RW (1994) Working memory and retrieval: a resource-dependent inhibition model. J Exp Psychol: Gen 123:354–373

    Google Scholar 

  7. Davidoff JB (1991) Cognition Through color. Massachusetts Institute of Technology Press, Cambridge

  8. Duncan J (1977) Response selection rules in spatial choice reaction tasks. In: Dornic S (ed) Attention and Performance VI. Erlbaum, Hillsdale, pp 49–71

  9. Engel FL, Goossens P, Haakma R (1994) Improved efficiency through I- and E-feedback: a trackball with contextual force feedback. Int J of Hum Comput Stud 41(6):949–974

    Google Scholar 

  10. Fournier PA, Mazzarella MM, Ricciardi MM, Fingeret, AL (1975) Reading level and locus of interference in the Stroop color-word task. Percept Motor Skill 41:239–242

    Google Scholar 

  11. Franzen H (2000) Is your brain thinking on its feet?. Scientific American (news), November 9

  12. Fritz JP, Barner KE (1996) Stochastic models for haptic textures. Proc Photonics East’96 – SPIE’s International Symposium on Intelligent Systems and Advanced Manufacturing-Telemanipulator and Telepresence Technologies III. Boston, MA, USA, November

  13. Goldman-Rakic PS (1992) Working memory and the mind. Scientific American, September, pp 73–79

  14. Ho C, Basdogan C, Srinivasan MA (October 1999) Efficient point-based rendering techniques for haptic display of virtual objects. Presence 8(5):477–491

    Google Scholar 

  15. Katz D (1989) The world of touch. (Translated by Krueger LE) Erlbaum, Hillsdale, NJ, USA. Original work was published in 1925

  16. Klatzky RL, Lederman S (1987) There’s more to touch than meets the eye: the salience of object attributes for haptics with and without vision. J Exp Psychol: Gen 116(4):356–369

    Google Scholar 

  17. Koch C, Gobell J, Roid GH (1999) Exploring individual differences in Stroop processing with cluster analysis. Psycoloquy 10(25), Stroop Difference (1)

  18. Koch C (2001) Stroop interference and working memory. Psycoloquy 12(25), Stroop Difference (3)

  19. Koseleff P (1957) Studies in the perception of heaviness. Acta Psychologica 13:242–252

    Google Scholar 

  20. LaBerge D, Samuels SJ (1974) Toward a theory of automatic information processing in reading. Cogn Psychol 6:293–323

    Google Scholar 

  21. Massie TH (1996) Initial haptic explorations with the Phantom: virtual touch through point interaction. Master Thesis, Massachusetts Institute of Technology

  22. McGee MR, Gray P, Brewster S (2000) Feeling rough: multimodal perception of virtual roughness. Proc Europhaptics 2001. Birmingham, UK, 1–4 July, pp 29–33

  23. McGee MR, Gray P, Brewster S (2001) Haptic perception of virtual roughness. In: Extended Abstract of ACM CHI2001. Seattle, Washington, USA, 31 March–5 April, pp 155–156

  24. Miller GA (1956) The magical number seven plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97

    Google Scholar 

  25. Minsky MDR (1995) Computation haptics: the sandpaper system for synthesizing texture for a force-feedback display. PhD Thesis, Massachusetts Institute of Technology

  26. Oakley I (1999) Comparing haptic effects in a GUI. Proc 1st PHANToM Users Research Symposium. Heidelberg, Germany, 21–22 May, pp 13–16

  27. Oakley I, McGee MR, Brewster S, Gray P (2000) Putting the feel in “look and feel”. Proc ACM CHI2000. The Hague, The Netherlands, 1–6 April, pp 415–423

  28. Pachella RG (1974) The interpretation of reaction time in information-processing research. In: Kantowitz BH (ed) Human Information Processing: Tutorials in Performance and Cognition. Erlbaum, Hillsdale, pp 41–82

  29. Paramythis A, Savidis A, Stephanidis C (2001) AVANTI: A universally accessible web browser. In: Stephanidis C (ed) Universal Access in HCI: Towards an Information Society for All, vol 3. Lawrence Erlbaum Ass., London, pp 91–95

  30. Posner MI, Snyder CRR (1975) Attention and cognitive control. In: Solso RL (ed) Information Processing and Cognition. The Loyola Symposium Hillsdale, NJ: Erlbaum, pp 5585

  31. Proctor RW, Vu KP (2002) Human information processing: an overview for human-computer interaction. In: Jacko J, Sears A (eds) The Human-Computer Interaction Handbook. Lawrence Erlbaum Associates, Mahwah, pp 35–51

  32. Reachin API 3.0 Programmer’s Guide. Reachin Technologies AB, Sweden, 1998–2001

  33. Salisbury JK (1999) Making graphics physically tangible. Commun ACM 42(8):75–81

    Google Scholar 

  34. Schiller PH (1966) Developmental study of color-word interference. J Exp Psychol 72:105–108

    Google Scholar 

  35. Sherrick CE, Cholewiak RW (1986) Cutaneous sensitivity. In: Boff KR, Kaufman L, Thomas JL (eds) Handbook of Human Perception and Human Performance, vol I. Wiley, New York, pp 12-1 to 12-57

  36. Siira J, Pai DK (April 1996) Haptic texturing – a stochastic approach. IEEE Int Conf Robotics and Automation, Minneapolis, MN, USA, pp 557–562

  37. Srinivasan MA (1995) Haptic interfaces. In: Durlach NI, Mavor AS (eds) Virtual Reality: Scientific and Technological Challenges. Report of the Committee on Virtual Reality Research and Development, National Research Council. National Academy Press, Washington, DC, USA, pp 161–187

  38. Stephanidis C (ed) (2001) User Interfaces for All-Concepts, Methods and Tools. Lawrence Erlbaum Associates, Mahwah

  39. Stephanidis C (2001) IS4ALL: promoting universal design in healthcare telematics. In: Stephanidis C (ed) Universal Access in HCI: Towards an Information Society for All, vol 3. Lawrence Erlbaum Ass., London, pp 50–54

  40. Stroop JR (1935) Studies of interference in serial verbal reactions. J Exp Psychol 28:243–662

    Google Scholar 

  41. Tielsch JM, Sommer A, Witt K (1990) Blindness and visual impairment in an American urban population. The Baltimore Eye Survey, Archives Ophthalmology 108(2):286–290

  42. Wall SA, Harwin WS (1999) Modeling of surface identifying characteristics using Fourier series. Proc 8th Annual Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. Opryland Hotel, Nashville, TN, USA, 14–19 November, pp 65–71

  43. Wichmann FA, Sharpe L (2002) The contributions of color to recognition memory for natural scenes. J Exp Psychol: Learn 28(3):509–525

    Google Scholar 

  44. Wickens CD, Sandry DL, Vidulich M (1983) Compatibility and resource competition between modalities of input central processing, and output. Hum Factors 25(2):227–248

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zhaowu Luo or Atsumi Imamiya.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Luo, Z., Imamiya, A. How do colors influence the haptic perception of textured surfaces?. UAIS 2, 160–172 (2003). https://doi.org/10.1007/s10209-003-0048-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10209-003-0048-8

Keywords

Navigation