Nobuhito Kasahara

schoolMeiji Universitybar_chart#4691 Global Rank

Total Papers

HCI Rank

#4691

Research Areas

Years Active

Recent Publications

Skewed Dual Normal Distribution Model: Predicting 1D Touch Pointing Success Rate for Targets Near Screen Edges

Typical success-rate prediction models for tapping exclude targets near screen edges; however, design constraints often force such placements. Additionally, in scrollable UIs any element can move close to an edge. In this work, we model how target--edge distance affects 1D touch pointing accuracy. We propose the Skewe…

MOBILEHCI '245th+ AuthorPrototyping & User Testing +1

Verifying Finger-Fitts Models for Normalizing Subjective Speed-Accuracy Biases

Previous studies on the Finger-Fitts law (FFitts law) are lacking in sufficient experiments to verify its inherent potential. Since the FFitts law is originally a modified version of the effective width method to normalize speed-accuracy biases, the model fit would improve if multiple biases were mixed together and th…

CHI '241st AuthorUser Research Methods (Interviews, Surveys, Observation)

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

In Fitts' law studies to investigate pointing, throughput is used to characterize the performance of input devices and users, which is claimed to be independent of task difficulty or the user's subjective speed-accuracy bias. While throughput has been recognized as a useful metric for target-pointing tasks, the corres…

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