| Powermice and user performance |
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Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI conference on Human factors in computing systems: Empowering people
table of contents
Seattle, Washington, United States
Pages: 213 - 220
Year of Publication: 1990
ISBN:0-201-50932-6
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Authors
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Herbert D. Jellinek
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Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA
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Stuart K. Card
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Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA
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| Bibliometrics |
Downloads (6 Weeks): 4, Downloads (12 Months): 42, Citation Count: 14
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ABSTRACT
Claims of increased pointing speed by users and manufacturers of variable-gain mice (“powermice”) have become rife. Yet, there have been no demonstrations of this claim, and theoretical considerations suggest it may not even be true. In this paper, the claim is tested.
A search of the design space of powermice failed to find a design point that improved performance compared to a standard mouse. No setting for the gain for a constant-gain mouse was found that improved performance. No threshold setting for a variable gain mouse was found that improved performance. In fact, even gain and threshold combinations favored by powermouse enthusiasts failed to improve performance. It is suggested that the real source of enthusiasm for powermice is that users are willing to accept reduced pointing speed in return for a smaller desk footprint.
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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Fitts, P. M. (1954). Th~ information capacity of the human motor system in controlling the amplitude of movement. Journal of ExperimentM Psychology v. 47, no. 6, Jun 1954, pp. 103-112.
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Card, S. K. (1981). The model human processor: A model for making engineering calculations of human performance. In R. Sugarman (Ed.), Proceedings, 25th Annual meeting of the Human Factors Society.
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Cedarimplementors.pa (1988). Inscript documentation. On-line documentation for the Cedar programming environment.
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Langolf, G. (1973) Human Motor Performance in Precise Microscopic Work- Development of Standard Data for Microscopic Assembly Work. }Ph.D. Thesis, Department of industrial Engineering, University of Michigan.
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Rose, Caroline. (1985) Inside Macintosh, volume II. Reading, MA: Addison-Wesley Publishing Company.
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Veniola, Daniel. Private communication with the author, May 17., 1988.
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CITED BY 14
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Ken Hinckley , Edward Cutrell , Steve Bathiche , Tim Muss, Quantitative analysis of scrolling techniques, Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, April 20-25, 2002, Minneapolis, Minnesota, USA
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Géry Casiez , Daniel Vogel , Qing Pan , Christophe Chaillou, RubberEdge: reducing clutching by combining position and rate control with elastic feedback, Proceedings of the 20th annual ACM symposium on User interface software and technology, October 07-10, 2007, Newport, Rhode Island, USA
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Jacob O. Wobbrock , James Fogarty , Shih-Yen (Sean) Liu , Shunichi Kimuro , Susumu Harada, The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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