AI-Human Interaction
Overview
The AI-Human Interaction group explores how humans interpret AI responses and how AI can better understand human intent. This group also encompasses AI for education, designing systems that enhance learning, personalize instruction, and improve educational access. By studying diverse user needs and developing data-driven personas, the group aims to make AI systems more intuitive, relatable, and trustworthy. Its work emphasizes communication, transparency, human-centered design, and educational impact to ensure AI serves people effectively and ethically.
Team
Collaborators
Former members
Tools
Acua
Acua is the organizing theme of our research efforts, focusing on audience, customer, and user analytics for an enhanced understanding of these populations for an organization. Our efforts concentrate on research for collecting, measuring, analyzing, and reporting digital data to enhance insights into the behavior of audiences, customers, and users, with the development of systems to support these activities central to the research.
Cipherbot: AI-Powered Transformation of Learning
Cipherbot is an AI teaching and learning platform that turns existing course and curriculum materials into AI-generated lesson plans, slides, narrated videos, study guides, and assessments, while giving learners a 24/7 multilingual tutor that answers only from the instructor’s content, with citations back to the source. Built for the full education spectrum—from national ministry deployments to K-12 schools, universities, and corporate training partners—it combines configurable AI pedagogy, early at-risk-student analytics, automated grading, and full LMS integration. Pilot-tested and adopted by institutions across multiple countries—including Qatar, Korea, Australia, Finland, China, Vietnam, and Indonesia—Cipherbot has served over 4,200 active users, including 400+ teachers and 3,000+ students across 800+ classes, all as part of a social-impact initiative bringing safe, citation-backed AI into everyday teaching and learning.
METRIC: Measuring Engagement Through Remote Interactions of Customers
METRIC is a tool for collecting, measuring, analyzing, and reporting the engagement of online systems through real interactions of customers or users, including real-time. METRIC enables system stakeholders to enhance understanding of their customers via actual behavior on particular pages in the online systems, including the focus and interaction with sub-elements on a page within that system.
Survey2Persona
Survey2Persona is a survey data analysis and visualization tool. It transforms numerical survey responses (e.g., Likert scale, Binary, or other categorical data) and associate demographic survey data into personas, a humanized representation of the underlying survey data presented as a believable person, containing picture, name, age, country, and other demographic attributes and information.