Human–AI Interaction Research Platform

The Need

As AI systems are rapidly deployed across healthcare, education, and high-stakes decision-making, organizations lack rigorous tools to evaluate how humans actually interact with, trust, and respond to AI in real-world conditions.

Opportunity Overview
Researchers at the Ohio State University have developed a webbased, multiuser platform designed to effectively study how people interact with AI systems in real time. Unlike traditional survey tools or product, A/B testing environments, the platform supports live human–AI collaboration while capturing detailed, processlevel data, including interaction sequences, message edits, and timing, enabling deeper insight into how AI influences human behavior, decisionmaking, and trust.

Why It Matters
As AI systems are deployed across communication, healthcare, education, and decisionsupport contexts, organizations need evidencebased ways to evaluate human–AI interaction, safety, and effectiveness. This platform bridges the gap between academic experimental rigor and realworld AI systems, offering a scalable, configurable environment for controlled evaluation and comparison of AIassisted workflows.

Key Applications

  • Evaluation and optimization of conversational AI and AI assistants
  • AI trust, bias, safety, and governance research
  • Digital health, education, and decisionsupport studies
  • UX and behavioral research for AIenabled products

Engagement Opportunities
Ohio State is seeking licensees and industry partners to elevate the rigor and depth of their human–AI interaction research.

Inventors: Dr. Meng Jingbo, School of Communication

Contact us to discuss licensing, collaborative development, or pilot deployment opportunities. Licensing Officer: Ana Panic panic.2@osu.edu

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