skip to main content
10.1145/2501988.2502016acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
research-article

FingerPad: private and subtle interaction using fingertips

Published:08 October 2013Publication History

ABSTRACT

We present FingerPad, a nail-mounted device that turns the tip of the index finger into a touchpad, allowing private and subtle interaction while on the move. FingerPad enables touch input using magnetic tracking, by adding a Hall sensor grid on the index fingernail, and a magnet on the thumbnail. Since it permits input through the pinch gesture, FingerPad is suitable for private use because the movements of the fingers in a pinch are subtle and are naturally hidden by the hand. Functionally, FingerPad resembles a touchpad, and also allows for eyes-free use. Additionally, since the necessary devices are attached to the nails, FingerPad preserves natural haptic feedback without affecting the native function of the fingertips. Through user study, we analyze the three design factors, namely posture, commitment method and target size, to assess the design of the FingerPad. Though the results show some trade-off among the factors, generally participants achieve 93% accuracy for very small targets (1.2mm-width) in the seated condition, and 92% accuracy for 2.5mm-width targets in the walking condition.

Skip Supplemental Material Section

Supplemental Material

uist235.m4v

m4v

67.8 MB

References

  1. Ashbrook, D., Baudisch, P., and White, S. Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring. In Proc. ACM CHI '11 (2011), 2043--2046. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Costanza, E., Inverso, S. A., Allen, R., and Maes, P. Intimate interfaces in action: assessing the usability and subtlety of emg-based motionless gestures. In Proc. ACM CHI '07 (2007), 819--828. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Fukumoto, M., and Suenaga, Y. FingerRing: a full-time wearable interface. In Proc. ACM CHI '94 (1994), 81--82. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Han, X., Seki, H., and Hikizu, M. Wearable handwriting input device using magnetic field. In Proc. IEEE SICE'07 (2007), 365--368.Google ScholarGoogle Scholar
  5. Harrison, C., and Hudson, S. E. Abracadabra: wireless, high-precision, and unpowered finger input for very small mobile devices. In Proc. ACM UIST '09 (2009), 121--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Karrer, T., Wittenhagen, M., Heller, F., and Borchers, J. Pinstripe: eyes-free continuous input anywhere on interactive clothing. In Proc. ACM UIST '10 (2010), 429--430. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Liang, R.-H., Cheng, K.-Y., Su, C.-H., Weng, C.-T., Chen, B.-Y., and Yang, D.-N. GaussSense: attachable stylus sensing using magnetic sensor grid. In Proc. ACM UIST '12 (2012), 319--326. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Ni, T., and Baudisch, P. Disappearing mobile devices. In Proc. ACM UIST '09 (2009), 101--110. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Ogata, M., Sugiura, Y., Osawa, H., and Imai, M. iRing: intelligent ring using infrared reflection. In Proc. ACM UIST '12 (2012), 131--136. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Saponas, T. S., Tan, D. S., Morris, D., Balakrishnan, R., Turner, J., and Landay, J. A. Enabling always-available input with muscle-computer interfaces. In Proc. ACM UIST '09 (2009), 167--176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Sawhney, N., and Schmandt, C. Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments. ACM Trans. Comput.-Hum. Interact. 7, 3 (2000), 353--383. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Scott, J., Dearman, D., Yatani, K., and Truong, K. N. Sensing foot gestures from the pocket. In Proc. ACM UIST '10 (2010), 199--208. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Tsukada, K., and Yasamura, M. Ubi-finger: Gesture input device for mobile use. In Proc. APCHI '02 (2002), 388--400.Google ScholarGoogle Scholar
  14. Wobbrock, J. O., Wilson, A. D., and Li, Y. Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes. In Proc. ACM UIST '07 (2007), 159--168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Wolf, K., Naumann, A., Rohs, M., and Müller, J. Taxonomy of microinteractions: Defining microgestures based on ergonomic and scenario-dependent requirements. In Proc. INTERACT '11 (2011), 559--575. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Yang, X.-D., Grossman, T., Wigdor, D., and Fitzmaurice, G. Magic finger: always-available input through finger instrumentation. In Proc. ACM UIST '12 (2012), 147--156. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. FingerPad: private and subtle interaction using fingertips

    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
      UIST '13: Proceedings of the 26th annual ACM symposium on User interface software and technology
      October 2013
      558 pages
      ISBN:9781450322683
      DOI:10.1145/2501988

      Copyright © 2013 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: 8 October 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      UIST '13 Paper Acceptance Rate62of317submissions,20%Overall Acceptance Rate842of3,967submissions,21%

      Upcoming Conference

      UIST '24

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader