AI-Human Interaction

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.

People

Dr. Bernard James Jansen

Principal Scientist

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Soon-gyo Jung

Software Engineer

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Publications

AI representing personas representing user groups: Applying the agency theory to examine interaction challenges of conversational personas as decision-making tools

Joni Salminen, Soon-Gyo Jung, Ilkka Kaate, Trang Thi Thu Xuan, Jinan Y. Azem, Kholoud Khalil Aldous, Danial Amin, Bernard J. Jansen
Decision Support Systems (2025)

Examining Student Teachers’ Agency in an AI-Supported Learning Environment: Q Methodology Research

Youmen Chaaban, Soon-Gyo Jung, Johanne Medina, Jinan Y. Azem, Joni Salminen & Bernard J. Jansen
International Journal of Artificial Intelligence in Education (2025)

Cipherbot: An AI-Powered Educational Assistant for Conversational Q&A About Course Material

Jinan Azem , Soon-Gyo Jung , Johanne Medina , Kholoud K. Aldous , Joni Salminen , Bernard J Jansen
International Conference on Foundation and Large Language Models (FLLM) (2025)

Investigating the Usability of an Educational AI Chatbot by Middle School Teachers and Students for Enhanced Learning

Kholoud Khalil Aldous , Joni Salminen , Soon-gyo Jung , Jinan Y. Azem , Johanne Medina , Salar M. Khan , Amani Alabed , Bernard J. Jansen
International Conference on Foundation and Large Language Models (FLLM) (2025)

What is User Engagement?: A Systematic Review of 241 Research Articles in Human-Computer Interaction and Beyond

Bernard J. Jansen, Kathleen Guan, Joni Salminen, Khloud Aldous, Soon-gyo Jung
Proceedings of the Conference on Human Factors in Computing Systems (CHI) (2025)

Research-based/Supporting Tools

Cipherbot: AI-Powered Transformation of Learning

Cipherbot: AI-Powered Transformation of Learning

Experience AI-enhanced education with Cipherbot, a platform for teachers and students. Cipherbot, an AI chatbot, allows students to ask questions and get answers directly from…

METRIC​: Measuring Engagement Through Remote Interactions of Customers

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…

Survey2Persona​

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…

Acua

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…