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The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Pointing and cursor techniques table of contents
Pages 1401-1410  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Jacob O. Wobbrock  University of Washington, Seattle, WA, USA
James Fogarty  University of Washington, Seattle, WA, USA
Shih-Yen (Sean) Liu  University of Washington, Seattle, WA, USA
Shunichi Kimuro  University of Washington, Seattle, WA, USA
Susumu Harada  University of Washington, Seattle, WA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a novel method of dynamic C-D gain adaptation that improves target acquisition for users with motor impairments. Our method, called the Angle Mouse, adjusts the mouse C-D gain based on the deviation of angles sampled during movement. When angular deviation is low, the gain is kept high. When angular deviation is high, the gain is dropped, making the target bigger in motor-space. A key feature of the Angle Mouse is that, unlike most pointing facilitation techniques, it is target-agnostic, requiring no knowledge of target locations or dimensions. This means that the problem of distractor targets is avoided because adaptation is based solely on the user's behavior. In a study of 16 people, 8 of which had motor impairments, we found that the Angle Mouse improved motor-impaired pointing throughput by 10.3% over the Windows default mouse and 11.0% over sticky icons. For able-bodied users, there was no significant difference among the three techniques, as Angle Mouse throughput was within 1.2% of the default. Thus, the Angle Mouse improved pointing performance for users with motor impairments while remaining unobtrusive for able-bodied users.


REFERENCES

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Collaborative Colleagues:
Jacob O. Wobbrock: colleagues
James Fogarty: colleagues
Shih-Yen (Sean) Liu: colleagues
Shunichi Kimuro: colleagues
Susumu Harada: colleagues