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.

Research-based/Supporting Tools

Cipherbot: AI-Powered Transformation of Learning

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…

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…

Publications

What it means to learn with GenAI: Theorising student teachers’ perspectives on learning with GenAI through Q methodology research

Youmen Chaaban , Soon-Gyo Jung , Bernard J Jansen
European Journal of Teacher Education (2026)

Agentic Engagement with Educational AI Chatbots Among Pre-service Teachers: A Mixed-Method Study in Qatar

Youmen Chaaban , Soon-Gyo Jung , Bernard J Jansen
Journal of University Teaching and Learning Practice (2026)

From Priming Modalities to Educational AI Chatbot Engagement: A Study of 67 Learners

Trang Xuan , Joni Salminen , Ilkka Kaate , Farhan Ahmed , Danial Amin , Rajat Patil , Soon-Gyo Jung , Jinan Y. Azem , Bernard J. Jansen
International Journal of Human–Computer Interaction (2026)

Understanding User Engagement with Cross-Platform Social Media Content Created by Humans Versus AI: An Evaluation of ChatGPT in Content Marketing

Kholoud Aldous , Joni Salminen , Ali Farooq , Soon-gyo Jung , Bernard Jansen
ACM Transactions on the Web (2026)

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)

Current Members

Dr. Bernard James Jansen

Principal Scientist

Personal Page | HBKU Profile

Soon-gyo Jung

Senior Software Engineer

Personal Page | HBKU Profile

Dr. Shazia Afzal

Senior Software Engineer

Personal Page | HBKU Profile

Former Members

Kholoud Aldous

Post-doc · user studies

Personal Page

Jinan Yousef Azem

Research assistant · UI & user studies

Johanne Medina

Research associate · development

Personal Page