Herbert Wertheim College of Engineering
Indie Lab
Led by Eric Ragan · Computer and Information Science and Engineering
What we study
The Indie Lab studies how people interact with data and virtual environments. They design and test tools to help users understand information better, focusing on human-centered computing and visual analytics.
What working here is like
- Computational
- Coding required
- Papers
- 5
Recent papers, explained
- A Systematic Review on Human Roles, Solutions, and Methodological Approaches to Address Bias in AI
2026 · ACM Computing Surveys
Looks at how people influence AI bias, including both causes and solutions.
- A Systematic Survey of Empirical User Studies of Unintentional Information Disclosure in Everyday Digital Interaction
2026 · International Journal of Human-Computer Interaction
Summarizes 101 studies on accidental data leaks in digital use, covering methods and scenarios.
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- Assessment and Rehabilitation of Post-Stroke Visual Field Impairments: Current Approaches and Emerging Technologies
2026 · Neurorehabilitation and neural repair
Reviews methods to assess and treat vision problems after stroke, including traditional and new technologies.
- Comparison of Text-Based Inputs for Human-in-the-Loop Feedback in Vision-Language Models
2026 · ACM Transactions on Interactive Intelligent Systems
Tests four ways to get human feedback to improve vision-language models, finding tradeoffs between quality and effort.
- Human-in-the-Loop User Feedback Affects Perceived Accuracy and Trust, but Task Subjectivity Matters
2026 · ACM Transactions on Interactive Intelligent Systems
Finds that user feedback can improve AI, but how much depends on the task.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Eric Ragan hasn't set up this page yet. Their UF Scholars profile lists their publications.