skip to main content
10.1145/2556288.2557051acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

A chair as ubiquitous input device: exploring semaphoric chair gestures for focused and peripheral interaction

Authors Info & Claims
Published:26 April 2014Publication History

ABSTRACT

During everyday office work we are used to controlling our computers with keyboard and mouse, while the majority of our body remains unchallenged and the physical workspace around us stays largely unattended. Addressing this untapped potential, we explore the concept of turning a flexible office chair into a ubiquitous input device. To facilitate daily desktop work, we propose the utilization of semaphoric chair gestures that can be assigned to specific application functionalities. The exploration of two usage scenarios in the context of focused and peripheral interaction demonstrates high potential of chair gestures as additional input modality for opportunistic, hands-free interaction.

Skip Supplemental Material Section

Supplemental Material

p4097-sidebyside.mp4

mp4

160.9 MB

References

  1. Anttonen, J. and Surakka, V. Music, Heart Rate, and Emotions in the Context of Stimulating Technologies. ACII 2007, 290'301. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Baudel, T. and Beaudouin-Lafon, M. Charade: Remote Control of Objects Using Free-Hand Gestures. Communications of the ACM 36, 7 (1993), 28'35. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Beckhaus, S., Blom, K., and Haringer, M. ChairIO ' The Chair-Based Interface. In Concepts and Technologies for Pervasive Games. 2007, 231--264.Google ScholarGoogle Scholar
  4. Van Beurden, M., Ijsselsteijn, W., and De Kort, Y. User Experience of Gesture Based Interfaces: A Comparison with Traditional Interaction Methods on Pragmatic and Hedonic Qualities. GW 2011, 36--47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Card, S., Moran, T., and Newel, A. The KeystrokeLevel Model for User Performance Time with Interactive Systems. Communications of the ACM 23, 7 (1980), 396--410. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Cohen, M. The Internet Chair. International Journal of Human Computer Interaction 15, 2 (2003), 56--57.Google ScholarGoogle Scholar
  7. Dourish, P. Where The Action Is. MIT Press, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  8. Endert, A., Fiaux, P., Chung, H., Stewart, M., Andrews, C., and North, C. ChairMouse: Leveraging Natural Chair Rotation for Cursor Navigation on Large, HighResolution Displays. Ext. Abstracts CHI 2011, 571--580. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Forlizzi, J., DiSalvo, C., Zimmerman, J., Mutlu, B., and Hurst, A. The SenseChair: The Lounge Chair as an Intelligent Assistive Device for Elders. DUX 2005, 31. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Hart, S. and Staveland, L. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload. 1988, 139--183.Google ScholarGoogle Scholar
  11. Hausen, D., Bakker, S., Van den Hoven, E., Butz, A., and Eggen, B. Peripheral Interaction: Embedding HCI in Everyday Life. Workshop at INTERACT 2013.Google ScholarGoogle Scholar
  12. Hausen, D., Boring, S., and Greenberg, S. The Unadorned Desk: Exploiting the Physical Space around a Display as an Input Canvas. INTERACT 2013, 140--158.Google ScholarGoogle ScholarCross RefCross Ref
  13. Hausen, D., Richter, H., Hemme, A., and Butz, A. Comparing Input Modalities for Peripheral Interaction: A Case Study on Peripheral Music Control. INTERACT 2013, 162--179.Google ScholarGoogle Scholar
  14. Hausen, D. Comparing Modalities and Feedback for Peripheral Interaction. Ext. Abstracts CHI 2013, 1263--1268. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Healy, G., Lawler, S., Thorp, A., Neuhaus, M., Robson, E., Owen, N., and Dunstan, D. Reducing Prolonged Sitting in the Workplace. Human Factors and Ergonomics Society, 2012.Google ScholarGoogle Scholar
  16. Karam, M. and schraefel, m.c. A Study on the Use of Semaphoric Gestures to Support Secondary Task Interactions. Ext. Abstracts CHI 2005, 1961--1964. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Karam, M. and schraefel, m.c. A Taxonomy of Gestures in Human Computer Interaction. 2005.Google ScholarGoogle Scholar
  18. Levine, J. a. Non-Exercise Activity Thermogenesis (NEAT). Best Practice & Research Clinical Endocrinology & Metabolism 16, 4 (2002), 679--702.Google ScholarGoogle ScholarCross RefCross Ref
  19. Mankoff, J., Hudson, S., and Abowd, G. Interaction Techniques for Ambiguity Resolution in Recognitionbased Interfaces. UIST 2000, 11--20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Montero, C. and Marshall, M. Would You Do That' ' Understanding Social Acceptance of Gestural Interfaces. MobileHCI 2010, 275--278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Norman, D. Natural User Interfaces Are Not Natural. Interactions 17, 3 (2010), 6--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Oakley, I. and Park, J. Designing Eyes-Free Interaction. In Haptic & Audio Interaction Design. 2007, 121--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Probst, K., Lindlbauer, D., Greindl, P., Trapp, M., Haller, M., Schwartz, B., and Schrempf, A. Rotating, Tilting, Bouncing: Using an Interactive Chair to Promote Activity in Office Environments. Ext. Abstracts CHI 2013, 79--84. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Quek, F., McNeill, D., Bryll, R., and McCullough, K. Multimodal Human Discourse: Gesture and Speech. Transactions on Computer-Human Interaction 9, 3 (2002), 171--193. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Shen, X. An Evaluation Methodology for Ambient Displays. Journal of Engineering, Computing and Architecture 1, 2 (2007).Google ScholarGoogle Scholar
  26. Springer, T. The Future of Ergonomic Office Seating. Knoll Workplace Research, 2010.Google ScholarGoogle Scholar
  27. Streitz, N., Geißler, J., Holmer, T., Konomi, S., MüllerTomfelde, C., Reischl, W., Rexroth, P., Seitz, P., and Steinmetz, R. i-LAND: An Interactive Landscape for Creativity and Innovation. CHI 1999, 120--127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Tan, H., Slivovsky, L., and Pentland, A. A Sensing Chair Using Pressure Distribution Sensors. Transactions on Mechatronics 6, 3 (2001), 261--268.Google ScholarGoogle Scholar
  29. Van Uffelen, J., Wong, J., Chau, J., van der Ploeg, H., Riphagen, I., Gilson, N., Burton, N., Healy, G., Thorp, A., Clark, B., Gardiner, P., Dunstan, D., Bauman, A., Owen, N., and Brown, W. Occupational Sitting and Health Risks: A Systematic Review. American Journal of Preventive Medicine 39, 4 (2010), 379--88.Google ScholarGoogle Scholar
  30. Weiser, M. The Computer for the 21st Century. Scientific American 265, 3 (1991), 66--75.Google ScholarGoogle ScholarCross RefCross Ref
  31. Wexelblat, A. Research Challenges in Gesture: Open Issues and Unsolved Problems. GW 1997, 1--11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Wobbrock, J., Aung, H., Rothrock, B., and Myers, B. Maximizing the Guessability of Symbolic Input. Ext. Abstracts CHI 2005, 1869--1872. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Zheng, Y. and Morell, J. A Vibrotactile Feedback Approach to Posture Guidance. HAPTIC 2010, 351--358. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A chair as ubiquitous input device: exploring semaphoric chair gestures for focused and peripheral 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 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: 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