LY Corporation

apartmentCompanybar_chart#322 Global Rank

Total Papers

HCI Rank

#322

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Years Active

Recent Publications

ReflecTrace: Touchless Hover Interaction on Commodity Smartphones via Corneal Reflection

We propose an approach to detect finger hover inputs on a smartphone screen using corneal reflection images captured by the device’s built-in front camera. This method requires no external sensors or hardware, enabling hover input detection in the near-screen space that is not directly visible to the camera. By levera…

CHI '26Touchscreen Usability & Performance Modeling (Fitts' Law) +1

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…

CHI '26Immersion & Presence Research +2

Improving the Steering Law Throughput Calculation by Defining Effective Parameters for 3D Virtual Environments

Throughput is a widely used performance metric, combining speed and accuracy into a single measure, while reducing the effect of subjective speed–accuracy trade-offs. Despite its wide application in 2D steering tasks, its direct extension to 3D presents unique challenges since 3D trajectories exhibit higher variabilit…

CHI '26Crowdsourcing Task Design & Quality Control +2

Improving Data Quality via Pre-Task Participant Screening in Crowdsourced GUI Experiments

In crowdsourced user experiments that collect performance data from graphical user interface (GUI) interactions, some participants ignore instructions or act carelessly, threatening the validity of performance models. We investigate a pre-task screening method that requires simple GUI operations analogous to the main…

CHI '26Touchscreen Usability & Performance Modeling (Fitts' Law)

Normalizing Speed-accuracy Biases in 2D Pointing Tasks with Better Calculation of Effective Target Widths

For evaluations of 2D target selection using Fitts' law, ISO 9241-411 recommends using the effective target width (W_e) calculated using the univariate standard deviation of selection coordinates. Related research proposed using a bivariate standard deviation; however, the proposal was only tested using a single speed…

MOBILEHCI '24Prototyping & 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 '24User Research Methods (Interviews, Surveys, Observation) +1

Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets

Existing guidelines for designing targets on smartphones often focus on single-tap operations for accurate selection. However, smartphone interfaces can support both tap and swipe actions. We explored user-performance differences between tap and swipe in two crowdsourced experiments using bar and square targets. Resul…

CHI '24User Research Methods (Interviews, Surveys, Observation) +1

The Effect of Latency on Movement Time in Path-steering

In current graphical user interfaces, there exists a (typically unavoidable) end-to-end latency from each pointing-device movement to its corresponding cursor response on the screen, which is known to affect user performance in target selection, e.g., in terms of movement time (MT). Previous work also reported that a…

CHI '23User Research Methods (Interviews, Surveys, Observation) +1

Tuning Endpoint-variability Parameters by Observed Error Rates to Obtain Better Prediction Accuracy of Pointing Misses

Error rates (ERs) in target-pointing tasks are typically modelled in two steps: predicting the click-point variability (sigma) based on target sizes and then computing the probability that a click falls outside a target. This is an indirect approach if the researcher's purpose is to achieve the accurate prediction of…

CHI '23Voice 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…

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https://hci.top/en/institutions/LY%20Corporation?source=all

At a Glance

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LY Corporation

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Location

Japan · Asia

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Overall Rank

#322

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Active Years

2018-2026

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4 researchers · 0 collaborators

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Research Methods & Design Practice

Prototyping & User Testing

Touchscreen & Multi-Touch Interaction

Touchscreen Usability & Performance Modeling (Fitts' Law)

Mobile Interaction & Smartphone

Mobile App User Experience

Virtual, Augmented & Mixed Reality (XR)

Immersion & Presence Research

Privacy, Security & Trust

Privacy by Design & User Control