Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target Pointing

Yamanaka, Shota; Usuba, Hiroki; Miyashita, Homei

doi:10.1145/3491102.3517466

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target Pointing

Cited by 3 publications

References 50 publications

Relative Merits of Nominal and Effective Indexes of Difficulty of Fitts’ Law: Effects of Sample Size and the Number of Repetitions on Model Fit

Relative Merits of Nominal and Effective Indexes of Difficulty of Fitts’ Law: Effects of Sample Size and the Number of Repetitions on Model Fit

Throughput and Effective Parameters in Crossing

Better Definition and Calculation of Throughput and Effective Parameters for Steering to Account for Subjective Speed-accuracy Tradeoffs

Contact Info

Product

Resources

About