Research Objective

In my research, I am studying how the design of interfaces impact user behavior online, and redesigning social media interfaces for moderators and end-users. Drawing on techniques from visualization, user-interface design, and social computing, I am developing tools that integrate modern techniques in machine learning and NLP to augment the workflow of human moderators. I am exploring positive reinforcement techniques for shaping and driving user behavior. And I am reimagining the experience for end-users to better align with the diversity of user needs. Ultimately, my goal is to advance our understanding of how the design of social media platforms affect us so that we can design better interfaces moving into the future of the online world.

Topics: Social Computing, Human-Computer Interaction, Visualization, Machine Learning

Education

Awards/Achievements

• Recipient of Roy J. Carver Fellowship from the University of Illinois at Urbana-Champaign
• 1 year full-tuition + stipend

• Awarded by the Office of Undergraduate Education at RPI, for my project titled “CSDT, Music, and Math” (see Research Experience)

Publications

2023

ConvEx:  A Visual Conversation Exploration System for Discord Moderators

CSCW ‘23

Frederick Choi, Tanvi Bajpai, Sowmya Pratipati, Eshwar Chandrasekharan

2021

3D Hand Pose Estimation on Conventional Capacitive Touchscreens

MobileHCI ‘21

Frederick Choi, Chris Harrison, Sven Meyer

Research Experience

• Advised by Dr. Eshwar Chandrasekharan
• Quantitative study on the effects of positive signals--in particular, creator hearts on YouTube--on large-scale community behaviors

• Co-authored with Sajjadur Rahman, Hannah Kim and Dan Zhang
• Developed a framework for authoring interactive widgets within computational notebooks that enables transparent, reusable, and customizable data science workflows
• Accepted into CHI 2023 Late-Breaking Work (awaiting publication)

• Advised by Dr. Eshwar Chandrasekharan
• Applying visualization techniques to incorporate state-of-the-art text analysis algorithms (e.g. Perspective API for toxicity) into a tool for moderators on Discord
• Accepted into CSCW ‘23 (awaiting publication)

• Advised by Dr. Chris Harrison
• Developed software that can take capacitive touch data from a multi-touch screen (such as an iPad) and construct a 3D hand model of the user’s hand pose, enabling rich interaction possibilities using pre-existing hardware
• Published in MobileHCI ‘21 (see Publications)

• Group led by Dr. Ron Eglash
• Supervised by James Davis
• Created culturally-aware interactive software with the goal of better engaging primary and secondary students of underrepresented demographics and fostering in them a deeper interest in STEM
• Recreated (as a web application) Rhythm Wheels, a CSDT application which embedded concepts involving GCD, LCM, and modular arithmetic into a fun and musical experience.
• Presented at the 9th Annual Undergraduate Research Symposium at RPI and won an award (see Awards/Achievements)

• Extracurricular high school research project
• Advised by Dr. Thomas Banchoff, professor emeritus at Brown University
• Created interactive illustrations of mathematics that can easily be embedded in a web article or journal
• Intended for teachers and authors to help students and readers visualize concepts to build geometric intuition that is foundational to learning mathematics
• Written in TypeScript with three.js

Professional Experience

• Supervised by Charles McKenzie
• Built new features and contributed to the web interface for Wayfair credit card and financing options
• Worked with full stack technologies (PHP, JavaScript, CSS, Git, etc.)

Teaching Experience

Invited Talks/Presentations

Skills