skip to main content
10.1145/2556288.2557012acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

TouchTools: leveraging familiarity and skill with physical tools to augment touch interaction

Published:26 April 2014Publication History

ABSTRACT

The average person can skillfully manipulate a plethora of tools, from hammers to tweezers. However, despite this remarkable dexterity, gestures on today's touch devices are simplistic, relying primarily on the chording of fingers: one-finger pan, two-finger pinch, four-finger swipe and similar. We propose that touch gesture design be inspired by the manipulation of physical tools from the real world. In this way, we can leverage user familiarity and fluency with such tools to build a rich set of gestures for touch interaction. With only a few minutes of training on a proof-of-concept system, users were able to summon a variety of virtual tools by replicating their corresponding real-world grasps.

Skip Supplemental Material Section

Supplemental Material

pn0343-file3.mp4

mp4

76.4 MB

References

  1. Apple Computer, Inc. Multi-touch gesture dictionary (2008). US Patent 20070177803.Google ScholarGoogle Scholar
  2. Bartindale, T. Harrison, C., Olivier, P. L., and Hudson, S. SurfaceMouse: Supplementing Multi-Touch Interaction with a Virtual Mouse. In Proc. TEI '11. 293--296. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Baudel, T., and Beaudouin-Lafon, M. Charade: remote control of objects using free-hand gestures. Comm. ACM, 36(7). 28--35. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Cao, X., A. Wilson, R. Balakrishnan, K. Hinckley, S. Hudson. ShapeTouch: Leveraging contact shape on interactive surfaces. In Proc. ITS '08. 129--136.Google ScholarGoogle Scholar
  5. Epps, J., Lichman, S. and Wu, M. A study of hand shape use in tabletop gesture interaction. In CHI EA '06. 748--753. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Erol, A., Bebis, G., Nicolescu, M., Boyle, R., and Twombly, X. Vision-based hand pose estimation: A review. Computer Vision and Image Understanding, 108(1), 2007, 52--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Ewerling, P., Kulik, A., and Froehlich, B. Finger and hand detection for multi-touch interfaces based on maximally stable extremal regions. In Proc. ITS '12. 173--182. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Freeman, D., Benko, H., Morris, M. and Wigdor, D. ShadowGuides: Visualizations for in-situ learning of multi-touch and whole-hand gestures. In Proc. ITS '09. 165--172. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hinckley, K., Yatani, K., Pahud, M., Coddington, N., Rodenhouse, D., Wilson, A., Benko, H. and Buxton, B. Pen + touch = new tools. In Proc. UIST '10. 27--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Holz, C. and Baudisch, P. The generalized perceived input point model and how to double touch accuracy by extracting fingerprints. In Proc. CHI '10. 581--590. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Kratz, S., Rohs, M., Guse, D., Müller, J., Bailly, G. and Nischt, M. PalmSpace: continuous around-device gestures vs. multitouch for 3D rotation tasks on mobile devices. In Proc. AVI '12. 181--188. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. MacKenzie, C. L., and Iberall, T. (1994). The Grasping Hand. Advances in Psychology, Vol. 104. North Holland, Elsevier Science B.V. Amsterdam, The Netherlands.Google ScholarGoogle Scholar
  13. Marquardt, N., Kiemer, J., Ledo, D., Boring, S. and Greenberg, S. Designing user-, hand-, and handpart-aware tabletop interactions with the TouchID toolkit. In Proc. ITS '11. 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Murugappan, S., Vinayak, Elmqvist, N. and Ramani, K. Extended multitouch: recovering touch posture and differentiating users using a depth camera. In Proc. UIST '12. 487--496. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Patkin, M. (1981). Ergonomics and the Surgeon. Clinical Science for Surgeons. Butterworth. London, UK.Google ScholarGoogle Scholar
  16. Poupyrev, I., Weghorst, S., Billinghurst, M., Ichikawa, T., A framework and testbed for studying manipulation techniques for immersive VR. In Proc. VRST '97. 21--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Rekimoto, J. SmartSkin: An infrastructure for free-hand manipulation on interactive surfaces. In Proc. CHI '02. 113--120. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Rogers, S., Williamson, J., Stewart, C., and Murray-Smith, R. FingerCloud: uncertainty and autonomy handover in capacitive sensing. In Proc. CHI '10. 577--580. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Schmidt, D., Chong, M.K. and Gellersen, H. HandsDown: hand-contour-based user identification for interactive surfaces. In Proc. NordiCHI '10. 432--441. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Weiss, M., Wagner, J., Jansen, Y., Jennings, R., Khoshabeh, R., Hollan, J.D. and Borchers, J. SLAP widgets: bridging the gap between virtual and physical controls on tabletops. In Proc. CHI '09. 481--490. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Wigdor, D., Benko, H., Pella, J., Lombardo, J. and Williams, S. Rock & rails: extending multi-touch interactions with shape gestures to enable precise spatial manipulations. In Proc. CHI '11. 1581--1590. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Wilson, A. Simulating grasping behavior on an imaging interactive surface. In Proc. ITS '09. 125--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Wilson, A., Izadi, S., Hilliges, O., Garcia-Mendoza, A. and Kirk, D. Bringing physics to the surface. In Proc. UIST '08. 67--76. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Wilson, F. (1998). The Hand: How Its Use Shapes the Brain, Language, and Human Culture. Pantheon Books, New York.Google ScholarGoogle Scholar
  25. Wobbrock, J., Morris, M., and Wilson, A. User-defined gestures for surface computing. In Proc. CHI '09. 1083--1092. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Wu, M. and Balakrishnan, R. Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays. In Proc. UIST '03. 193--202. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Wu, M., Shen C., Ryall, K., Forlines, C. and Balakrishna, R. Gesture Registration, Relaxation, and Reuse for Multi-Point Direct-Touch Surfaces, In Proc. Tabletop '06. 185--192. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Wynn-Parry, C. B. (1981). Rehabilitation of the Hand. Butterworths, London, UK.Google ScholarGoogle Scholar

Index Terms

  1. TouchTools: leveraging familiarity and skill with physical tools to augment touch 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
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288

      Copyright © 2014 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 the author(s) 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: 26 April 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader