Experimental Evaluation of Vibrotactile Training Mappings for Dual-Joystick Directional Guidance | SpringerLink
Skip to main content
Springer Nature Link
Log in

Experimental Evaluation of Vibrotactile Training Mappings for Dual-Joystick Directional Guidance

  • Conference paper
  • First Online:
Haptics: Science, Technology, and Applications (EuroHaptics 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10894))

  • 4362 Accesses

Abstract

Two joystick-based teleoperation is a common method for controlling a remote machine or a robot. Their use could be counter-intuitive and could require a heavy mental workload. The goal of this paper is to investigate whether vibrotactile prompts could be used to trigger dual-joystick responses quickly and intuitively, so to possibly employ them for training. In particular, we investigate the effects of: (1) stimuli delivered either on the palm or on the back of the hand, (2) with attractive and repulsive mappings, (3) with single and sequential stimuli. We find that 38 participants responded quicker and more accurately when stimuli were delivered on the back of the hand, preferred to move towards the vibration. Sequential stimuli led to intermediate responses in terms of speed and accuracy.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • 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

Institutional subscriptions

Similar content being viewed by others

References

  1. Afzal, M.R., Oh, M.K., Lee, C.H., Park, Y.S., Yoon, J.: A portable gait asymmetry rehabilitation system for individuals with stroke using a vibrotactile feedback. BioMed Res. Int. 2015 (2015). https://doi.org/10.1155/2015/375638. Article ID 375638, 16 pages

    Article  Google Scholar 

  2. Alahakone, A., Senanayake, S.A.: Vibrotactile feedback systems: current trends in rehabilitation, sports and information display. In: 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009, pp. 1148–1153. IEEE (2009)

    Google Scholar 

  3. Artigas, J., Balachandran, R., Riecke, C., Stelzer, M., Weber, B., Ryu, J.H., Albu-Schaeffer, A.: KONTUR-2: force-feedback teleoperation from the international space station. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1166–1173. IEEE (2016)

    Google Scholar 

  4. Bimbo, J., Pacchierotti, C., Aggravi, M., Tsagarakis, N., Prattichizzo, D.: Teleoperation in cluttered environments using wearable Haptic feedback. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 (2017)

    Google Scholar 

  5. Bloomfield, A., Badler, N.I.: Virtual training via vibrotactile arrays. Presence Teleoperators Virtual Environ. 17(2), 103–120 (2008)

    Article  Google Scholar 

  6. Chinello, F., Pacchierotti, C., Bimbo, J., Tsagarakis, N.G., Prattichizzo, D.: Design and evaluation of a wearable skin stretch device for Haptic guidance. IEEE Robot. Autom. Lett. 3(1), 524–531 (2018)

    Article  Google Scholar 

  7. Coad, M.M., Okamura, A.M., Wren, S., Mintz, Y., Lendvay, T.S., Jarc, A.M., Nisky, I.: Training in divergent and convergent force fields during 6-DOF teleoperation with a robot-assisted surgical system. In: 2017 IEEE World Haptics Conference (WHC), pp. 195–200. IEEE (2017)

    Google Scholar 

  8. Drobny, D., Borchers, J.: Learning basic dance choreographies with different augmented feedback modalities. In: CHI 2010 Extended Abstracts on Human Factors in Computing Systems, pp. 3793–3798. ACM (2010)

    Google Scholar 

  9. Hung, C.T., Croft, E.A., Van der Loos, H.M.: A wearable vibrotactile device for upper-limb bilateral motion training in stroke rehabilitation: a case study. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3480–3483. IEEE (2015)

    Google Scholar 

  10. Janssen, L.J., Verhoeff, L.L., Horlings, C.G., Allum, J.H.: Directional effects of biofeedback on trunk sway during gait tasks in healthy young subjects. Gait Posture 29(4), 575–581 (2009)

    Article  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. Kinnaird, C., Lee, J., Carender, W.J., Kabeto, M., Martin, B., Sienko, K.H.: The effects of attractive vs. repulsive instructional cuing on balance performance. J. Neuroeng. Rehabil. 13(1), 1 (2016)

    Article  Google Scholar 

  13. Lee, B.C., Sienko, K.H.: Effects of attractive versus repulsive vibrotactile instructional cues during motion replication tasks. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3533–3536. IEEE (2011)

    Google Scholar 

  14. Lieberman, J., Breazeal, C.: Development of a wearable vibrotactile feedback suit for accelerated human motor learning. In: 2007 IEEE International Conference on Robotics and Automation, pp. 4001–4006. IEEE (2007)

    Google Scholar 

  15. Lindeman, R.W., Sibert, J.L., Mendez-Mendez, E., Patil, S., Phifer, D.: Effectiveness of directional vibrotactile cuing on a building-clearing task. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 271–280. ACM (2005)

    Google Scholar 

  16. Luces, J.V.S., Okabe, K., Murao, Y., Hirata, Y.: A phantom-sensation based paradigm for continuous vibrotactile wrist guidance in two-dimensional space. IEEE Robot. Autom. Lett. 3(1), 163–170 (2018)

    Article  Google Scholar 

  17. Maculewicz, J., Kofoed, L.B., Serafin, S.: A technological review of the instrumented footwear for rehabilitation with a focus on Parkinson’s disease patients. Front. Neurol. 7, 1 (2016)

    Article  Google Scholar 

  18. Mavridis, N., Pierris, G., Gallina, P., Papamitsiou, Z., Saad, U.: On the subjective difficulty of joystick-based robot arm teleoperation with auditory feedback. In: 2015 IEEE 8th GCC Conference and Exhibition (GCCCE), pp. 1–6. IEEE (2015)

    Google Scholar 

  19. McDaniel, T., Goldberg, M., Villanueva, D., Viswanathan, L.N., Panchanathan, S.: Motor learning using a kinematic-vibrotactile mapping targeting fundamental movements. In: Proceedings of the 19th ACM International Conference on Multimedia, pp. 543–552. ACM (2011)

    Google Scholar 

  20. Mellinkoff, B., Spydell, M., Bailey, W., Burns, J.O.: Investigation of minimum frame rate for low-latency planetary surface teleoperations. arXiv preprint arXiv:1706.03752 (2017)

  21. Micconi, G., Aleotti, J., Caselli, S.: Evaluation of a Haptic interface for UAV teleoperation in detection of radiation sources. In: 2016 18th Mediterranean Electrotechnical Conference (MELECON), pp. 1–6. IEEE (2016)

    Google Scholar 

  22. Montecchiari, G., Gallina, P., Bulian, G., Scalera, L.: The effects of a vibrotactile interface on evacuation simulation with virtual reality. IEEE Trans. Hum. Mach. Syst. (2018, in press)

    Google Scholar 

  23. Ni, T., Zhang, H., Yu, C., Zhao, D., Liu, S.: Design of highly realistic virtual environment for excavator simulator. Comput. Electr. Eng. 39(7), 2112–2123 (2013)

    Article  Google Scholar 

  24. Oldfield, R.C.: The assessment and analysis of handedness: the edinburgh inventory. Neuropsychologia 9(1), 97–113 (1971)

    Article  Google Scholar 

  25. Pervez, A., Ali, A., Ryu, J.H., Lee, D.: Novel learning from demonstration approach for repetitive teleoperation tasks. In: 2017 IEEE World Haptics Conference (WHC), pp. 60–65. IEEE (2017)

    Google Scholar 

  26. Rezazadeh, I.M., Wang, X., Firoozabadi, M., Golpayegani, M.R.H.: Using affective human-machine interface to increase the operation performance in virtual construction crane training system: a novel approach. Autom. Constr. 20(3), 289–298 (2011)

    Article  Google Scholar 

  27. Ruffaldi, E., Filippeschi, A.: Structuring a virtual environment for sport training: a case study on rowing technique. Robot. Autonom. Syst. 61(4), 390–397 (2013)

    Article  Google Scholar 

  28. Scalera, L., Seriani, S., Gallina, P., Di Luca, M., Gasparetto, A.: An experimental setup to test dual-joystick directional responses to vibrotactile stimuli. In: 2017 IEEE World Haptics Conference (WHC), pp. 72–77. IEEE (2017)

    Google Scholar 

  29. Scalera, L., Seriani, S., Gallina, P., Di Luca, M., Gasparetto, A.: An experimental setup to test dual-joystick directional responses to vibrotactile stimuli. IEEE Trans. Haptics (2018, in press)

    Google Scholar 

  30. Sigrist, R., Rauter, G., Riener, R., Wolf, P.: Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review. Psychon. Bull. Rev. 20(1), 21–53 (2013)

    Article  Google Scholar 

  31. Spelmezan, D., Jacobs, M., Hilgers, A., Borchers, J.: Tactile motion instructions for physical activities. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2243–2252. ACM (2009)

    Google Scholar 

  32. Sulaiman, H., Saadun, M.N.A., Yusof, A.A.: Modern manned, unmanned and teleoperated excavator system. J. Mech. Eng. Technol. (JMET) 7(1), 57–68 (2015)

    Google Scholar 

  33. Van Der Linden, J., Schoonderwaldt, E., Bird, J., Johnson, R.: Musicjacket-combining motion capture and vibrotactile feedback to teach violin bowing. IEEE Trans. Instrum. Measur. 60(1), 104–113 (2011)

    Article  Google Scholar 

  34. Van Erp, J.B., Saturday, I., Jansen, C.: Application of tactile displays in sports: where to, how and when to move. In: Proceedings of Eurohaptics, pp. 105–109. Springer (2006)

    Google Scholar 

  35. Van Erp, J.B., Van Veen, H.A., Jansen, C., Dobbins, T.: Waypoint navigation with a vibrotactile waist belt. ACM Trans. Appl. Percept. (TAP) 2(2), 106–117 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Polytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy

    Lorenzo Scalera & Alessandro Gasparetto

  2. Department of Engineering and Architecture, University of Trieste, Trieste, Italy

    Stefano Seriani & Paolo Gallina

  3. School of Psychology, University of Birmingham, Birmingham, UK

    Massimiliano Di Luca

Authors
  1. Lorenzo Scalera
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefano Seriani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paolo Gallina
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Massimiliano Di Luca
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Alessandro Gasparetto
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lorenzo Scalera .

Editor information

Editors and Affiliations

  1. University of Siena, Siena, Italy

    Domenico Prattichizzo

  2. University of Tokyo, Tokyo, Japan

    Hiroyuki Shinoda

  3. Purdue University, West Lafayette, Indiana, USA

    Hong Z. Tan

  4. Scuola Superiore Sant’Anna, Pisa, Italy

    Emanuele Ruffaldi

  5. Scuola Superiore Sant’Anna, Pisa, Italy

    Antonio Frisoli

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Scalera, L., Seriani, S., Gallina, P., Di Luca, M., Gasparetto, A. (2018). Experimental Evaluation of Vibrotactile Training Mappings for Dual-Joystick Directional Guidance. 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 10894. Springer, Cham. https://doi.org/10.1007/978-3-319-93399-3_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93399-3_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93398-6

  • Online ISBN: 978-3-319-93399-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation