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Tilt menu: using the 3D orientation information of pen devices to extend the selection capability of pen-based user interfaces
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Menu and Command Selection table of contents
Pages 1371-1380  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Feng Tian  Chinese Academy of Sciences, Beijing, China
Lishuang Xu  Chinese Academy of Sciences, Beijing, China
Hongan Wang  Chinese Academy of Sciences, Beijing, China
Xiaolong Zhang  The Pennsylvania State University, University Park, PA, USA
Yuanyuan Liu  Chinese Academy of Sciences, Beijing, China
Vidya Setlur  Nokia Research Palo Alto, Palo Alto, CA, USA
Guozhong Dai  Chinese Academy of Sciences, Beijing, China
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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ABSTRACT

We present a new technique called 'Tilt Menu' for better extending selection capabilities of pen-based interfaces. The Tilt Menu is implemented by using 3D orientation information of pen devices while performing selection tasks. The Tilt Menu has the potential to aid traditional one-handed techniques as it simultaneously generates the secondary input (e.g., a command or parameter selection) while drawing/interacting with a pen tip without having to use the second hand or another device. We conduct two experiments to explore the performance of the Tilt Menu. In the first experiment, we analyze the effect of parameters of the Tilt Menu, such as the menu size and orientation of the item, on its usability. Results of the first experiment suggest some design guidelines for the Tilt Menu. In the second experiment, the Tilt Menu is compared to two types of techniques while performing connect-the-dot tasks using freeform drawing mechanism. Results of the second experiment show that the Tilt Menu perform better in comparison to the Tool Palette, and is as good as the Toolglass.


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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Collaborative Colleagues:
Feng Tian: colleagues
Lishuang Xu: colleagues
Hongan Wang: colleagues
Xiaolong Zhang: colleagues
Yuanyuan Liu: colleagues
Vidya Setlur: colleagues
Guozhong Dai: colleagues