Hi, I'm Kapil.

I'm a postdoctoral scholar at the University of California, Irvine, advised by Anne Marie Piper and Erik Sudderth. I develop vision-language model (VLM)-based systems that support visual understanding for blind and low-vision (BLV) people. My research combines human-centered system design and evaluation with ML method development to make AI-powered visual assistance more trustworthy and interactive.

Portrait photo of Kapil Garg. He is a tall Indian man with short black hair and a beard. He is wearing square glasses and a blue polo shirt.

I completed my Ph.D. in Technology and Social Behavior (TSB) (a joint degree in Computer Science and Communication Studies) at Northwestern University, advised by Haoqi Zhang and Darren Gergle. My dissertation argued that developing a capacity for innovation work requires helping students develop their regulation skills, not just domain- or job-specific skills. I developed Situated Practice Systems that use Practice Objects—computational representations of a student's evolving practices and regulation gaps—to support coaching and help students adopt more effective practices, enabling more practice-centric approaches to learning and work.

My research draws from Human-Computer Interaction (HCI), Social Computing, the Learning Sciences, Management and Organizational Sciences, and Artificial Intelligence. My expertise spans HCI systems research—including design research, full-stack system implementation, and mixed-methods evaluation—and applied ML, including dataset annotation, synthetic data generation, foundation model post-training, and human-centered model evaluation.

News

Our CSCW 2026 paper on Situated Practice Systems to support regulation skill development for innovation work received a 🏅 Best Paper Honorable Mention!

Presented our CHI 2026 paper on image quality issues and VLM captioning at IIT Bombay's IDC School of Design Post-CHI 2026.

Invited to the 10th Annual UCI Postdoc Symposium to give a talk on AI systems for visual accessibility.

Publications

Conference & Journal Publications

[7]

Situated Practice Systems: A Computational System for Supporting the Coaching and Practice of Regulation Skills for Innovation Work

Kapil Garg, Darren Gergle, and Haoqi Zhang

Best Paper Honorable Mention (Top 3%)
[6]

"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models

Kapil Garg, Xinru Tang, Jimin Heo, Dwayne R. Morgan, Darren Gergle, Erik B. Sudderth, and Anne Marie Piper

Best Paper Honorable Mention (Top 5%)
[5]

What Remotely Matters? Understanding Individual, Team, and Organizational Factors in Remote Work at Scale

Kapil Garg, Diego Gómez-Zará, Elizabeth Gerber, Darren Gergle, Noshir Contractor, and Michael Massimi

[4]

Orchestration Scripts: A System for Encoding an Organization's Ways of Working to Support Situated Work

Kapil Garg, Darren Gergle, and Haoqi Zhang

[3]

Understanding the Practices and Challenges of Networked Orchestration in Research Communities of Practice

Kapil Garg, Darren Gergle, and Haoqi Zhang

[2]

Opportunistic Collective Experiences: Identifying Shared Situations and Structuring Shared Activities at Distance

Ryan Louie, Kapil Garg, Jennie Werner, Allison Sun, Darren Gergle, and Haoqi Zhang

[1]

4X: A Hybrid Approach for Scaffolding Data Collection and Interest in Low-Effort Participatory Sensing

Kapil Garg, Yongsung Kim, Darren Gergle, and Haoqi Zhang

Workshop Publications

[1]

Supporting Workers in Developing Effective Collaboration Skills for Complex Work

Evey Huang, Kapil Garg, Diego Gómez-Zará, Julie Hui, Chinmay Kulkarni, Michael Massimi, Elizabeth Churchill, and Elizabeth Gerber

Workshop Organizer

Dissertation

Situated Practice Systems: Developing Worker's Capabilities for Complex Work in Networked Workplaces

Kapil Garg

Technical Skills

Programming Languages

PythonJavaScriptTypeScriptHTML/CSSSQLR

Web & Backend

React/Next.jsNode.jsExpress.jsTailwind CSSMongoDBFastAPI

AI, ML, & Data Analysis

Hugging Face TransformersLLMs/VLMsImage Segmentation Models (SAM, etc.)PyTorchscikit-learnpandasNumPy

Research Skills

Design ResearchEthnographyLarge-Scale SurveysRapid PrototypingField EvaluationThematic AnalysisFactor AnalysisRegressionMultilevel ModelsExperiment Design