skip to main content
10.1145/3281505.3281526acmconferencesArticle/Chapter ViewAbstractPublication PagesvrstConference Proceedingsconference-collections
research-article

Tactile hand motion and pose guidance for 3D interaction

Authors Info & Claims
Published:28 November 2018Publication History

ABSTRACT

We present a novel forearm-and-glove tactile interface that can enhance 3D interaction by guiding hand motor planning and coordination. In particular, we aim to improve hand motion and pose actions related to selection and manipulation tasks. Through our user studies, we illustrate how tactile patterns can guide the user, by triggering hand pose and motion changes, for example to grasp (select) and manipulate (move) an object. We discuss the potential and limitations of the interface, and outline future work.

References

  1. C. Afonso and S. Beckhaus. 2011. How to Not Hit a Virtual Wall: Aural Spatial Awareness for Collision Avoidance in Virtual Environments. In Proceedings of the 6th Audio Mostly Conference: A Conference on Interaction with Sound (AM '11). ACM, 101--108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. B. Ammons. 1956. Effects of Knowledge of Performance: A Survey and Tentative Theoretical Formulation. The Journal of General Psychology 54, 2 (1956), 279--299.Google ScholarGoogle ScholarCross RefCross Ref
  3. F. Argelaguet, A. Kulik, A. Kunert, C. Andujar, and B. Froehlich. 2011. See-through techniques for referential awareness in collaborative virtual reality. International Journal of Human-Computer Studies 69, 6 (2011), 387--400. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. Bane and T. Hollerer. 2004. Interactive Tools for Virtual X-Ray Vision in Mobile Augmented Reality. In Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR '04). IEEE, 231--239. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. K. Bark, P. Khanna, R. Irwin, P. Kapur, S. A. Jax, L. Buxbaum, and K. Kuchenbecker. 2011. Lessons in using vibrotactile feedback to guide fast arm motions. In World Haptics Conference (WHC), 2011 IEEE. IEEE, 355--360.Google ScholarGoogle Scholar
  6. P. W. Battaglia, M. Di Luca, M. Ernst, P. R. Schrater, T. Machulla, and D. Kersten. 2010. Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLOS Computational Biology 6, 3 (03 2010), 1--10.Google ScholarGoogle Scholar
  7. S. Beckhaus, F. Ritter, and T. Strothotte. 2000. CubicalPath-dynamic potential fields for guided exploration in virtual environments. In Proceedings the Eighth Pacific Conference on Computer Graphics and Applications. 387--459. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. Benko, C. Holz, M. Sinclair, and E. Ofek. 2016. NormalTouch and TextureTouch: High-fidelity 3D Haptic Shape Rendering on Handheld Virtual Reality Controllers. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, 717--728. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Blake and H. B. Gurocak. 2009. Haptic Glove With MR Brakes for Virtual Reality. IEEE/ASME Transactions on Mechatronics 14, 5 (2009), 606--615.Google ScholarGoogle ScholarCross RefCross Ref
  10. A. Bloomfield and N. Badler. 2008. Virtual training via vibrotactile arrays. Presence: Teleoperators and Virtual Environments 17, 2 (2008), 103--120. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A. Bloomfield, Y. Deng, J. Wampler, P. Rondot, M. Harth, D. and McManus, and N. Badler. 2003. A taxonomy and comparison of haptic actions for disassembly tasks. In Virtual Reality, 2003. Proceedings. IEEE. IEEE, 225--231. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. G. C. Burdea. 1996. Force and Touch Feedback for Virtual Reality. John Wiley & Sons, Inc. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. C. Chen, Y. Chen, Y. Chung, and N. Yu. 2016. Motion Guidance Sleeve: Guiding the Forearm Rotation Through External Artificial Muscles. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, 3272--3276. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. D. Drobny and J. O. Borchers. 2010. Learning basic dance choreographies with different augmented feedback modalities. In Proceedings of the 28th International Conference on Human Factors in Computing Systems, CHI 2010, Extended Abstracts Volume, 2010. 3793--3798. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. Ernst and M. Banks. 2002. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415, 6870 (2002), 429.Google ScholarGoogle Scholar
  16. P. Gallotti, A. Raposo, and L. Soares. 2011. v-Glove: A 3D Virtual Touch Interface. In 2011 XIII Symposium on Virtual Reality. 242--251. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. U. Gollner, T. Bieling, and G. Joost. 2012. Mobile Lorm Glove: Introducing a Communication Device for Deaf-blind People. In Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction (TEI '12). ACM, 127--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. P. Green and L. Wei-Haas. 1985. The rapid development of user interfaces: Experience with the Wizard of Oz method. In Proceedings of the Human Factors Society Annual Meeting, Vol. 29. SAGE Publications Sage CA: Los Angeles, CA, 470--474.Google ScholarGoogle Scholar
  19. C. Hatzfeld and T.A. Kern. 2014. Engineering Haptic Devices: A Beginner's Guide. Springer London. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. B. Holbert. 2007. Enhanced Targeting in a Haptic User Interface for the Physically Disabled Using a Force Feedback Mouse. Ph.D. Dissertation. Advisor(s) Huber, M. AAI3277666. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. H. Jin, Q. Chen, Z. Chen, Y. Hu, and J. Zhang. 2016. Multi-LeapMotion sensor based demonstration for robotic refine tabletop object manipulation task. CAAI Transactions on Intelligence Technology 1, 1 (2016), 104 -- 113.Google ScholarGoogle ScholarCross RefCross Ref
  22. R. Johansson and R. Flanagan. 2009. Coding and use of tactile signals from the fingertips in object manipulation tasks. Nature reviews. Neuroscience 10, 5 (2009), 345.Google ScholarGoogle Scholar
  23. R. S Johansson and Å B Vallbo. 1979. Tactile sensibility in the human hand: relative and absolute densities of four types of mechanoreceptive units in glabrous skin. The Journal of physiology 286, 1 (1979), 283--300.Google ScholarGoogle ScholarCross RefCross Ref
  24. K. Kaczmarek, J. Webster, P. Bach-y Rita, and W. Tompkins. 1991. Electrotactile and vibrotactile displays for sensory substitution systems. IEEE Transactions on Biomedical Engineering 38, 1 (1991), 1--16.Google ScholarGoogle ScholarCross RefCross Ref
  25. M. Klapdohr, B. Wöldecke, D. Marinos, J. Herder, C. Geiger, and W. Vonolfen. 2010. Vibrotactile Pitfalls: Arm Guidance for Moderators in Virtual TV Studios. In Proceedings of the 13th International Conference on Humans and Computers (HC '10). University of Aizu Press, 72--80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. E. Kruijff, A. Marquardt, C. Trepkowski, R. W. Lindeman, A. Hinkenjann, J. Maiero, and B. E. Riecke. 2016. On Your Feet!: Enhancing Vection in Leaning-Based Interfaces Through Multisensory Stimuli. In Proceedings of the 2016 Symposium on Spatial User Interaction (SUI '16). ACM, 149--158. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. E. Kruijff, A. Marquardt, C. Trepkowski, J. Schild, and A. Hinkenjann. 2017. Designed Emotions: Challenges and Potential Methodologies for Improving Multisensory Cues to Enhance User Engagement in Immersive Systems. Vis. Comput. 33, 4 (April 2017), 471--488. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. E. Kruijff, K. Wesche, G. and Riege, G. Goebbels, M. Kunstman, and D. Schmalstieg. 2006. Tactylus, a Pen-input Device Exploring Audiotactile Sensory Binding. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST '06). ACM, 312--315. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. J.J. LaViola, E. Kruijff, R.P. McMahan, D. Bowman, and I.P. Poupyrev. 2017. 3D User Interfaces: Theory and Practice. Pearson Education.Google ScholarGoogle Scholar
  30. D. Levac and H. Sveistrup. 2014. Motor Learning and Virtual Reality., 25--46 pages.Google ScholarGoogle Scholar
  31. J. Lieberman and C. Breazeal. 2007. TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning. (2007).Google ScholarGoogle Scholar
  32. P. Lopes, D. Yüksel, F. Guimbretière, and P. Baudisch. 2016. Muscle-plotter: An Interactive System Based on Electrical Muscle Stimulation That Produces Spatial Output. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, 207--217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. V. Maheshwari and R. Saraf. 2008. Tactile Devices To Sense Touch on a Par with a Human Finger. Angewandte Chemie International Edition 47, 41 (2008), 7808--7826.Google ScholarGoogle ScholarCross RefCross Ref
  34. A. Marquardt, E. Kruijff, C. Trepkowski, J. Maiero, A. Schwandt, A. Hinkenjann, W. Stuerzlinger, and J. Schoening. 2018. Audio-Tactile Feedback for Enhancing 3D Manipulation. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST '18). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. J. Martinez, A. Garcia, M. Oliver, J. P. Molina, and P. Gonzalez. 2016. Identifying Virtual 3D Geometric Shapes with a Vibrotactile Glove. IEEE Computer Graphics and Applications 36, 1 (Jan 2016), 42--51.Google ScholarGoogle ScholarCross RefCross Ref
  36. T. H. Massie, K. Salisbury, et al. 1994. The phantom haptic interface: A device for probing virtual objects. In Proceedings of the ASME winter annual meeting, symposium on haptic interfaces for virtual environment and teleoperator systems, Vol. 55. 295--300.Google ScholarGoogle Scholar
  37. T. McDaniel, D. Villanueva, S. Krishna, and S. Panchanathan. 2010. MOVeMENT: A framework for systematically mapping vibrotactile stimulations to fundamental body movements. In Haptic Audio-Visual Environments and Games (HAVE), 2010 IEEE International Symposium on. IEEE, 1--6.Google ScholarGoogle Scholar
  38. R. P McMahan, D. A Bowman, D. J Zielinski, and R. B Brady. 2012. Evaluating display fidelity and interaction fidelity in a virtual reality game. IEEE transactions on visualization and computer graphics 18, 4 (2012), 626--633. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. K. Nosaka, A. Aldayel, M. Jubeau, and T. C. Chen. 2011. Muscle damage induced by electrical stimulation. European Journal of Applied Physiology 111, 10 (03 Aug 2011), 2427.Google ScholarGoogle ScholarCross RefCross Ref
  40. D. Pai. 2005. Multisensory interaction: Real and virtual. In Robotics Research. The Eleventh International Symposium. Springer, 489--498.Google ScholarGoogle ScholarCross RefCross Ref
  41. E. Piateski and L. Jones. 2005. Vibrotactile pattern recognition on the arm and torso. In Eurohaptics Conference, 2005 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005. World Haptics 2005. First Joint. IEEE, 90--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. H. Regenbrecht, J. Hauber, R. Schoenfelder, and A. Maegerlein. 2005. Virtual Reality Aided Assembly with Directional Vibro-tactile Feedback. In Proceedings of the 3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE '05). ACM, 381--387. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. E. Ruffaldi, A. Filippeschi, A. Frisoli, O. Sandoval, C. A. Avizzano, and M. Bergamasco. 2009. Vibrotactile perception assessment for a rowing training system. In World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. 350--355. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. K. Sato, K. Minamizawa, N. Kawakami, and S. Tachi. 2007. Haptic Telexistence. In ACM SIGGRAPH 2007 Emerging Technologies (SIGGRAPH '07). ACM, Article 10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. R.A. Schmidt and C.A. Wrisberg. 2004. Motor Learning and Performance. Human Kinetics.Google ScholarGoogle Scholar
  46. C. Schönauer, K. Fukushi, A. Olwal, H. Kaufmann, and R. Raskar. 2012. Multimodal Motion Guidance: Techniques for Adaptive and Dynamic Feedback. In Proceedings of the 14th ACM International Conference on Multimodal Interaction (ICMI '12). ACM, 133--140. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. D. Spelmezan, M. Jacobs, A. Hilgers, and J. Borchers. 2009. Tactile Motion Instructions for Physical Activities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, 2243--2252. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. C. Spence and S. Squire. 2003. Multisensory integration: maintaining the perception of synchrony. Current Biology 13, 13 (2003), R519--R521.Google ScholarGoogle ScholarCross RefCross Ref
  49. A. A. Stanley and K. J. Kuchenbecker. 2012. Evaluation of Tactile Feedback Methods for Wrist Rotation Guidance. EEE Trans. Haptics 5, 3 (Jan. 2012), 240--251. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. E. Tamaki, T. Miyaki, and J. Rekimoto. 2011. PossessedHand: Techniques for Controlling Human Hands Using Electrical Muscles Stimuli. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, 543--552. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. H. Uematsu, D. Ogawa, R. Okazaki, T. Hachisu, and H. Kajimoto. 2016. HALUX: projection-based interactive skin for digital sports. In SIGGRAPH Emerging Technologies. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. G. H. VanDoorn, V. Dubaj, D. B. Wuillemin, B. L. Richardson, and M. A. Symmons. 2012. Cognitive Load Can Explain Differences in Active and Passive Touch. In Haptics: Perception, Devices, Mobility, and Communication, P. Isokoski and J. Springare (Eds.). Springer Berlin Heidelberg, 91--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. S. Vishniakou, B. W. Lewis, X. Niu, A. Kargar, K. Sun, M. Kalajian, N. Park, M. Yang, Y. Jing, P. Brochu, et al. 2013. Tactile Feedback Display with Spatial and Temporal Resolutions. Scientific reports 3 (2013), 2521.Google ScholarGoogle Scholar
  54. H. S. Vitense, J. A. Jacko, and V. K. Emery. 2002. Multimodal Feedback: Establishing a Performance Baseline for Improved Access by Individuals with Visual Impairments. In Proceedings of the Fifth International ACM Conference on Assistive Technologies (Assets '02). ACM, 49--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. J. Zheng, Y. and Morrell. 2010. A vibrotactile feedback approach to posture guidance. In Haptics Symposium, 2010 IEEE. IEEE, 351--358. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. M. Zhou, D.B. Jones, S.D. Schwaitzberg, and C.G.L. Cao. 2007. Role of Haptic Feedback and Cognitive Load in Surgical Skill Acquisition. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, 11 (2007),631--635.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Tactile hand motion and pose guidance for 3D interaction

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology
          November 2018
          570 pages
          ISBN:9781450360869
          DOI:10.1145/3281505

          Copyright © 2018 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 28 November 2018

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate66of254submissions,26%

          Upcoming Conference

          VRST '24

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader