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Sheng Long

PROFILE

Sheng Long

Shenglong developed a Virtual Chinrest Plugin for the revisit-studies/study repository, focusing on enhancing data quality in online experiments by enabling precise control of viewing distance and stimulus scaling. Using React and TypeScript, Shenglong implemented a dynamic ball and fixed square interface to estimate user viewing distance, and designed a card size calibration feature that matches an image to a credit card, determining pixels per millimeter for consistent scaling across devices. The work demonstrated depth in frontend development and UI/UX design, addressing reproducibility challenges in web-based research. Over the month, Shenglong delivered a complete feature with careful attention to experimental accuracy.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
530
Activity Months1

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

Concise monthly summary for 2025-10: Delivered the Virtual Chinrest Plugin with viewing distance calibration and card size calibration for the revisit-studies/study repository. This work enables precise control of viewing distance in online experiments and consistent stimulus scaling across devices, leading to improved data quality and reproducibility.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSSHTMLJavaScriptTypeScript

Technical Skills

Frontend DevelopmentReactUI/UX DesignWeb Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

revisit-studies/study

Oct 2025 Oct 2025
1 Month active

Languages Used

CSSHTMLJavaScriptTypeScript

Technical Skills

Frontend DevelopmentReactUI/UX DesignWeb Development

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