Homei Miyashita

schoolMeiji Universitybar_chart#1192 Global Rank

Total Papers

HCI Rank

#1192

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 '24CorrespondingPrototyping & 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 '24CorrespondingUser 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…

CHI '23CorrespondingVoice User Interface (VUI) Design +1

Varying Subjective Speed-accuracy Biases to Evaluate the Generalizability of Experimental Findings on Pointing-facilitation Techniques

In typical experiments to evaluate novel pointing-facilitation techniques, participants are asked to perform a task as rapidly and accurately as possible. However, the balance can differ among participants, and the techniques' effectiveness would change if the majority of participants give weight to either speed or ac…

CHI '22CorrespondingPrototyping & User Testing +1

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

The effective width method of Fitts' law can normalize speed-accuracy biases in 1D target pointing tasks. However, in graphical user interfaces, more meaningful target shapes are rectangular. To empirically determine the best way to normalize the subjective biases, we ran remote and crowdsourced user experiments wit…

UIST '20CorrespondingHuman Pose & Activity Recognition +1

Servo-Gaussian Model to Predict Success Rates in Manual Tracking: Path Steering and Pursuit of 1D Moving Target

We propose a Servo-Gaussian model to predict success rates in continuous manual tracking tasks. Two tasks were conducted to validate this model: path steering and pursuit of a 1D moving target. We hypothesized that (1) hand movements follow the servo-mechanism model, (2) submovement endpoints form a bivariate Gaussian…

UIST '20CorrespondingHaptic Wearables +1

Taste Display that Reproduces Tastes Measured by a Taste Sensor

Aiming for the creation and development of taste media, a taste display was developed in this study that can reproduce tastes measured using taste sensors. By performing iontophoresis on five gels, which contain dissolved electrolytes that reproduce the five basic tastes, the quantity of ions that contact the tongue w…

CHI '18CorrespondingPrototyping & User Testing

Steering through Successive Objects

We investigate stroking motions through successive objects with styli. There are several promising models for stroking motions, such as crossing tasks, which require endpoint accuracy of a stroke, or steering tasks, which require continuous accuracy throughout the trajectory. However, a task requiring users to repeate…

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