Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target Pointing
Author:
Affiliation:
1. Yahoo Japan Corporation, Japan
2. Meiji University, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3491102.3517466
Reference67 articles.
1. Refining Fitts' law models for bivariate pointing
2. A new look at the statistical model identification
3. Evaluation of pointing performance on screen edges
4. The Effect of Pitch in Auditory Error Feedback for Fitts' Tasks in Virtual Reality Training Systems
5. FFitts law
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Better Definition and Calculation of Throughput and Effective Parameters for Steering to Account for Subjective Speed-accuracy Tradeoffs;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
2. Relative Merits of Nominal and Effective Indexes of Difficulty of Fitts’ Law: Effects of Sample Size and the Number of Repetitions on Model Fit;International Journal of Human–Computer Interaction;2024-01-14
3. Throughput and Effective Parameters in Crossing;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
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