Meiji University

schoolSchoolbar_chart#260 Global Rank

Total Papers

HCI Rank

#260

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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…

CHI '26Shape-Changing Interfaces & Soft Robotic Materials +2

Animacy and the Eye of the Beholder: A Mixed-Methods Study on Cognitive Animacy with a Kinetic Origami Surface

Previous research shows how animacy attribution is shaped by perceptual and cognitive processes based on morphological and behavioural characteristics. Existing evidence is largely focused on passive observation of movement on a screen or scenarios involving predefined interactions. We explore cognitive animacy percep…

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 '26Museum & Cultural Heritage Digitization +2

Drawing Attention: A Field Study of Sketch-Based Penguin Identification for Aquarium Visitor Engagement

Zoos and aquariums often house animals in groups, making it difficult for visitors to recognize individuals. Penguins exemplify this challenge, even though identifying individuals can foster empathy and engagement. We addressed the following research questions: (RQ1) How do zoos and aquariums currently provide individ…

CSCW '24Session 4f: Multiplayer Gaming and Communication

SealMates: Improving Communication in Video Conferencing using a Collective Behavior-Driven Avatar

The limited nonverbal cues and spatially distributed nature of remote communication make it challenging for unacquainted members to be expressive during social interactions over video conferencing. Though it enables seeing others’ facial expressions, the visual feedback can instead lead to unexpected self-focus, resul…

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)

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 '24Visualization Perception & Cognition +1

Waiting Time Perceptions for Faster Count-downs/ups Are More Sensitive Than Slower Ones: Experimental Investigation and Its Application

Countdowns and count-ups are very useful displays that explicitly show how long users should wait and also show the current processing states of a given task. Most countdowns or count-ups decrease or increase their digit every one second exactly, and most users have an implicit assumption that the digit changes every…

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…

CHI '22Prototyping & 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…

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https://hci.top/en/institutions/Meiji%20University?source=all

At a Glance

Institution Snapshot

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Meiji University

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Location

Japan · Asia

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Overall Rank

#260

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Total Papers

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Active Years

2018-2026

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19 researchers · 0 collaborators

Research Profile

Top Research Directions

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Research Methods & Design Practice

Prototyping & User Testing

Fabrication, 3D Printing & Physical Computing

Desktop 3D Printing & Personal Fabrication

Haptic, Force & Physical Feedback

Vibrotactile Feedback & Skin Stimulation

Tangible Interaction & Tangible User Interfaces (TUI)

Tangible User Interface Design

Touchscreen & Multi-Touch Interaction

Touchscreen Usability & Performance Modeling (Fitts' Law)