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Combining head tracking and mouse input for a GUI on multiple monitors
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Source Conference on Human Factors in Computing Systems archive
CHI '05 extended abstracts on Human factors in computing systems table of contents
Portland, OR, USA
SESSION: Late breaking results: short papers table of contents
Pages: 1188 - 1191  
Year of Publication: 2005
ISBN:1-59593-002-7
Authors
Mark Ashdown  University of Tokyo, Tokyo, Japan
Kenji Oka  University of Tokyo, Tokyo, Japan
Yoichi Sato  University of Tokyo, Tokyo, Japan
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 80,   Citation Count: 9
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ABSTRACT

The use of multiple LCD monitors is becoming popular as prices are reduced, but this creates problems for window management and switching between applications. For a single monitor, eye tracking can be combined with the mouse to reduce the amount of mouse movement, but with several monitors the head is moved through a large range of positions and angles which makes eye tracking difficult. We thus use head tracking to switch the mouse pointer between monitors and use the mouse to move within each monitor. In our experiment users required significantly less mouse movement with the tracking system, and preferred using it, although task time actually increased. A graphical prompt (flashing star) prevented the user losing the pointer when switching monitors. We present discussions on our results and ideas for further developments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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M. Czerwinski, G. Smith, T. Regan, B. Meyers, G. Robertson, and G. Starkweather. Toward Characterizing the Productivity Benefits of Very Large Displays. In Proc. Interact 2003, pages 9--16, 2003.
 
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H. Goosssens and A. V. Opstal. Human Eye-Head Coordination in Two Dimensions Under Different Sensorimotor Conditions. Exp. Brain Research, 114:542--560, 1997.
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R. J. Jacob. Advances in Human-Computer Interaction, Vol. 4, ed. by H.R. Hartson and D. Hix, chapter Eye Movement-Based Human-Computer Interaction Techniques: Toward Non-Command Interfaces, pages 151--190. Ablex Publishing Co., 1993.
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K. Oka, Y. Sato, Y. Nakanishi, and H. Koike. Head Pose Estimation System Based on Particle Filtering with Adaptive Diffusion Control. In Proc. MVA 2005, 2005.
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CITED BY  9

Collaborative Colleagues:
Mark Ashdown: colleagues
Kenji Oka: colleagues
Yoichi Sato: colleagues