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Refining Fitts' law models for bivariate pointing

Published:05 April 2003Publication History

ABSTRACT

We investigate bivariate pointing in light of the recent progress in the modeling of univariate pointing. Unlike previous studies, we focus on the effect of target shape (width and height ratio) on pointing performance, particularly when such a ratio is between 1 and 2. Results showed unequal impact of amplitude and directional constraints, with the former dominating the latter. Investigating models based on the notion of weighted Lp norm, we found that our empirical findings were best captured by an Euclidean model with one free weight. This model significantly outperforms the best model to date.

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              cover image ACM Conferences
              CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
              April 2003
              620 pages
              ISBN:1581136307
              DOI:10.1145/642611

              Copyright © 2003 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 5 April 2003

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              CHI '03 Paper Acceptance Rate75of468submissions,16%Overall Acceptance Rate6,199of26,314submissions,24%

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