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Providing Visual Support for Selecting Reactive Elements in Intelligent Environments

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Transactions on Computational Science XVIII

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 7848))

Abstract

When realizing gestural interaction in a typical living environment there often is an offset between user-perceived and machine-perceived direction of pointing, which can hinder reliable selection of elements in the surroundings. This work presents a support system that provides visual feedback to a freely gesturing user; thus enabling reliable selection of and interaction with reactive elements in intelligent environments. We have created a prototype that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and visual support provision using a custom built laser-robot. Finally an evaluation has been performed, in order to prove the efficiency of such a system, acquire usability feedback and determine potential learning effects for gesture-based interaction.

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References

  1. Majewski, M., Braun, A., Marinc, A., Kuijper, A.: Visual Support System for Selecting Reactive Elements in Intelligent Environments. In: International Conference on Cyberworlds, pp. 251–255 (2012)

    Google Scholar 

  2. Weiser, M.: The Computer for the 21st Century. Scientific American 265, 94–104 (1991)

    Article  Google Scholar 

  3. Valli, A.: The design of natural interaction. Multimedia Tools and Applications 38, 295–305 (2008)

    Article  Google Scholar 

  4. Aarts, E.: Ambient intelligence drives open innovation. Interactions 12, 66 (2005)

    Article  Google Scholar 

  5. Massachusetts Institute of Technology: Oxygen project, http://oxygen.lcs.mit.edu/

  6. Wright, S., Steventon, A.: Intelligent spaces — the vision, the opportunities and the barriers. BT Technology Journal 22, 15–26 (2004)

    Article  Google Scholar 

  7. Heilig, M.L.: Sensorama simulator (1962), http://www.freepatentsonline.com/3050870.html

  8. Sutherland, I.E.: Sketchpad: A man-machine graphical communication system. In: Afips Conference Proceedings, vol. 2, pp. 329–346 (1963)

    Google Scholar 

  9. Rovner, P.D., Henderson, D.A.: On the implementation of AMBIT/G: a graphical programming language, pp. 9–20 (1969)

    Google Scholar 

  10. Kessler, G.D., Hodges, L.F., Walker, N.: Evaluation of the CyberGlove as a whole-hand input device. ACM Transactions on Computer-Human Interaction 2, 263–283 (1995)

    Article  Google Scholar 

  11. Lee, J.C.: Interaction Techniques Using The Wii Remote Nintendo Wii. Applied Sciences (2008)

    Google Scholar 

  12. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: CVPR 2011, pp. 1297–1304 (2011)

    Google Scholar 

  13. PrimeSense: PrimeSensor, http://www.primesense.com/

  14. Wilson, A., Shafer, S.: XWand: UI for intelligent spaces. In: Proceedings of the ACM Conference on Human Factors in Computing Systems, pp. 545–552. ACM (2003)

    Google Scholar 

  15. Wilson, A., Pham, H.: Pointing in intelligent environments with the worldcursor. In: INTERACT International Conference on Human Computer Interaction (2003)

    Google Scholar 

  16. Miller, G.A., Galanter, E., Pribram, K.H.: Plans and the structure of behavior. Holt (1960)

    Google Scholar 

  17. Kammer, D., Keck, M., Freitag, G., Wacker, M.: Taxonomy and Overview of Multi-touch Frameworks: Architecture, Scope and Features. Architecture, 1–5 (2010)

    Google Scholar 

  18. Akenine-Möller, T., Haines, E., Hoffman, N.: Real-Time Rendering. AK Peters (2008)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Majewski, M., Braun, A., Marinc, A., Kuijper, A. (2013). Providing Visual Support for Selecting Reactive Elements in Intelligent Environments. In: Gavrilova, M.L., Tan, C.J.K., Kuijper, A. (eds) Transactions on Computational Science XVIII. Lecture Notes in Computer Science, vol 7848. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38803-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-38803-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38802-6

  • Online ISBN: 978-3-642-38803-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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