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
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4. The Effect of Pitch in Auditory Error Feedback for Fitts' Tasks in Virtual Reality Training Systems
5. FFitts law
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1. 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
2. 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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