Skip to main content

How Geometrical Descriptors Help to Build Cognitive Maps of Solid Geometry with a 3DOF Tactile Mouse

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9775))

Abstract

In this work we study how the kind and number of geometrical descriptors affects the way real objects are matched to virtual 2.5D objects, rendered with a 3DOF tactile mouse. We show that elevation or inclination cues are sufficient to recognize a small tactile dictionary of geometrical solids, but that their combination works at best. We also show that inclination alone may generate confusion and elicits the highest perceived cognitive load. Our setup can be the basis to build tactile user desktop interfaces to facilitate learning of mathematical concepts for people with vision loss.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Baud-Bovy, G., Squeri, V., Sanguineti, V.: Size-change detection thresholds of a hand-held bar at rest and during movement. In: Erp, J.B.F., Bergmann Tiest, W.M., Helm, F.C.T., Kappers, A.M.L. (eds.) EuroHaptics 2010, Part II. LNCS, vol. 6192, pp. 327–332. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Brayda, L., Campus, C., Memeo, M., Lucagrossi, L.: The importance of visual experience, gender and emotion in the assessment of an assistive tactile mouse. IEEE Trans. Haptics 8(3), 279–286 (2015)

    Article  Google Scholar 

  3. Brewster, S., Brown, L.M.: Tactons: Structured Tactile Messages for Non-visual Information Display, AUIC 2004, pp. 15–23. Australian Computer Society Inc, Darlinghurst, Australia (2004)

    Google Scholar 

  4. Campus, C., Brayda, L., De Carli, F., Chellali, R., Famà, F., Bruzzo, C., Lucagrossi, L., Rodriguez, G.: Tactile exploration of virtual objects for blind and sighted people: the role of beta 1 EEG band in sensory substitution and supra-modal mental mapping. J. Neurophysiol. 107(10), 2713–2729 (2012)

    Article  Google Scholar 

  5. Formaglio, A., Baud-Bovy, G., Prattichizzo, D.: Conveying virtual tactile feedback via augmented kinesthetic stimulation. In: 2007 IEEE International Conference on Robotics and Automation, pp. 3995–4000. IEEE (2007)

    Google Scholar 

  6. Frisoli, A., Solazzi, M., Salsedo, F., Bergamasco, M.: A fingertip haptic display for improving curvature discrimination. Presence: Teleoperators Teleoperators Environ. 17(6), 550–561 (2008)

    Article  Google Scholar 

  7. Goodnow, J.J., Baum, B., Davidson, P.: A haptic error: skew in a symmetrical curve. Percep. Psychophysics 10(4), 253–256 (1971)

    Article  Google Scholar 

  8. Hart, S.G.: Nasa-task load index (nasa-tlx); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, pp. 904–908. Sage Publications (2006)

    Google Scholar 

  9. Heller, M.A.: Tactile picture perception in sighted and blind people. Behav. Brain Res. 135(1), 65–68 (2002)

    Article  MathSciNet  Google Scholar 

  10. Kappers, A.M., Koenderink, J.J., te Pas, S.F.: Haptic discrimination of doubly curved surfaces. Perception 23, 1483–1490 (1994)

    Article  Google Scholar 

  11. Khan, M., Sulaiman, S., Said, A.M., Tahir, M.: Exploring the quantitative and qualitative measures for haptic systems. In: 2010 International Symposium in Information Technology (ITSim), vol. 1, pp. 31–36. IEEE (2010)

    Google Scholar 

  12. Klatzky, R.L., Loomis, J.M., Lederman, S.J., Wake, H., Fujita, N.: Haptic identification of objects and their depictions. Percept. Psychophysics 54(2), 170–178 (1993)

    Article  Google Scholar 

  13. Kuchenbecker, K.J., Ferguson, D., Kutzer, M., Moses, M., Okamura, A.M.: The touch thimble: providing fingertip contact feedback during point-force haptic interaction. In: Haptics 2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 239–246. IEEE (2008)

    Google Scholar 

  14. Lahav, O., Mioduser, D.: Haptic-feedback support for cognitive mapping of unknown spaces by people who are blind. Int. J. Hum. Comput. Stud. 66(1), 23–35 (2008)

    Article  Google Scholar 

  15. Lederman, S.J., Klatzky, R.L.: Extracting object properties through haptic exploration. Acta Psychol. 84(1), 29–40 (1993)

    Article  Google Scholar 

  16. Marquardt, N., Nacenta, M.A., Young, J.E., Carpendale, S., Greenberg, S., Sharlin, E.: The haptic tabletop puck: tactile feedback for interactive tabletops. In: Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, pp. 85–92 (2009)

    Google Scholar 

  17. McFarland, J., Soechting, J.F.: Factors influencing the radial-tangential illusion in haptic perception. Exp. Brain Res. 178(2), 216–227 (2007)

    Article  Google Scholar 

  18. Norman, J.F., Phillips, F., et al.: Solid shape discrimination from vision and haptics: natural objects (capsicum annuum) and gibsons feelies. Exp. Brain Res. 222(3), 321–332 (2012)

    Article  Google Scholar 

  19. Picard, D., Lebaz, S.: Identifying raised-line drawings by touch: a hard but not impossible task. J. Vis. Impairment Blindness 106(7), 427 (2012)

    Google Scholar 

  20. Pont, S.C., Kappers, A.M., Koenderink, J.J.: Similar mechanisms underlie curvature comparison by static and dynamic touch. Percept. Psychophysics 61(5), 874–894 (1999)

    Article  Google Scholar 

  21. Prattichizzo, D., Chinello, F., Pacchierotti, C., Malvezzi, M.: Towards wearability in fingertip haptics: a 3-dof wearable device for cutaneous force feedback. IEEE Trans. Haptics 6(4), 506–516 (2013)

    Article  Google Scholar 

  22. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013). http://www.R-project.org/

  23. Rastogi, R., Pawluk, T., Ketchum, J.: Intuitive tactile zooming for graphics accessed by individuals who are blind and visually impaired. IEEE Trans. Neural Syst. Rehabil. Eng. 21(4), 655–663 (2013)

    Article  Google Scholar 

  24. Roberts, R., Humphreys, G.: The role of somatotopy and body posture in the integration of texture across the fingers. Psychol. Sci. 21(4), 476–483 (2010)

    Article  Google Scholar 

  25. Vitello, M.P., Fritschi, M., Ernst, M.O.: Active movement reduces the tactile discrimination performance. In: Peer, A., Giachritsis, C.D. (eds.) Immersive Multimodal Interactive Presence, pp. 7–34. Springer, London (2012)

    Chapter  Google Scholar 

  26. Vitense, H.S., Jacko, J.A., Emery, V.K.: Multimodal feedback: an assessment of performance and mental workload. Ergonomics 46(1–3), 68–87 (2003)

    Article  Google Scholar 

  27. Vogels, I.M., Kappers, A.M., Koenderink, J.J.: Influence of shape on haptic curvature perception. Acta Psychol. 100(3), 267–289 (1999)

    Article  Google Scholar 

  28. Wijntjes, M.W., Sato, A., Hayward, V., Kappers, A.M.: Local surface orientation dominates haptic curvature discrimination. IEEE Trans. Haptics 2(2), 94–102 (2009)

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank Marco Jacono for software design, Giorgio Zini for electronic design and Diego Torazza for the mechanical design of the device, Fabrizio Leo and Claudio Campus for the suggestions on the statistical analyses. Furthermore we are grateful, for their availability, to all the volunteers who participated in the experiments. This research is supported by the Fondazione Istituto Italiano di Tecnologia.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mariacarla Memeo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Memeo, M., Brayda, L. (2016). How Geometrical Descriptors Help to Build Cognitive Maps of Solid Geometry with a 3DOF Tactile Mouse. In: Bello, F., Kajimoto, H., Visell, Y. (eds) Haptics: Perception, Devices, Control, and Applications. EuroHaptics 2016. Lecture Notes in Computer Science(), vol 9775. Springer, Cham. https://doi.org/10.1007/978-3-319-42324-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42324-1_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42323-4

  • Online ISBN: 978-3-319-42324-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics