Hiroki Usuba

Orcid: 0000-0001-7192-7231

According to our database1, Hiroki Usuba authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Predicting Success Rates in Steering Through Linear and Circular Paths by the Servo-Gaussian Model.
Int. J. Hum. Comput. Interact., August, 2024

Verifying Finger-Fitts Models for Normalizing Subjective Speed-Accuracy Biases.
Proc. ACM Hum. Comput. Interact., 2024

0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success Rates.
Proc. ACM Hum. Comput. Interact., 2024

Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones.
CoRR, 2024

Tappy: Predicting Tap Accuracy of User-Interface Elements by Reverse-Engineering Webpage Structures.
CoRR, 2024

Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Clarifying the Effect of Edge Targets in Touch Pointing through Crowdsourced Experiments.
Proc. ACM Hum. Comput. Interact., 2023

Tuning Endpoint-variability Parameters by Observed Error Rates to Obtain Better Prediction Accuracy of Pointing Misses.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
The Effectiveness of Path-Segmentation for Modeling Lasso Times in Width-Varying Paths.
Proc. ACM Hum. Comput. Interact., 2022

Predicting Touch Accuracy for Rectangular Targets by Using One-Dimensional Task Results.
Proc. ACM Hum. Comput. Interact., 2022

Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target Pointing.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Modeling Movement Times and Success Rates for Acquisition of One-dimensional Targets with Uncertain Touchable Sizes.
Proc. ACM Hum. Comput. Interact., 2021

Computing Touch-Point Ambiguity on Mobile Touchscreens for Modeling Target Selection Times.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Calibration Methods of Touch-Point Ambiguity for Finger-Fitts Law.
CoRR, 2021

2020
Rethinking the Dual Gaussian Distribution Model for Predicting Touch Accuracy in On-screen-start Pointing Tasks.
Proc. ACM Hum. Comput. Interact., 2020

Servo-Gaussian Model to Predict Success Rates in Manual Tracking: Path Steering and Pursuit of 1D Moving Target.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

A Model for Pointing at Targets with Different Clickable and Visual Widths and with Distractors.
Proceedings of the OzCHI '20: 32nd Australian Conference on Human-Computer-Interaction, 2020

Peephole Steering: Speed Limitation Models for Steering Performance in Restricted View Sizes.
Proceedings of the 46th Graphics Interface Conference 2020, 2020

2019
Comparing Lassoing Criteria and Modeling Straight-line and One-loop Lassoing Motions Considering Criteria.
Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces, 2019

Effects of Delboeuf Illusion on Pointing Performance.
Proceedings of the OZCHI'19: 31st Australian Conference on Human-Computer-Interaction, 2019

Touch Pointing Performance for Uncertain Touchable Sizes of 1D Targets.
Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019

Modeling Drone Crossing Movement with Fitts' Law.
Proceedings of the HCI International 2019 - Late Breaking Papers, 2019

Modeling Drone Pointing Movement with Fitts' Law.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Pointing to targets with difference between motor and visual widths.
Proceedings of the 30th Australian Conference on Computer-Human Interaction, 2018

User performance by the difference between motor and visual widths for small target pointing.
Proceedings of the 10th Nordic Conference on Human-Computer Interaction, Oslo, 2018


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