Research
Research statement and projects.
Combining Information Systems and Visual Communication Design, I investigate how interface architectures, cognitive biases, and AI explainability cues shape human cognition, attention, and decision-making.
Research projects.
Predicting Concrete Compressive Strength Using Random Forest and Partial Dependence Analysis
An interpretable machine learning framework that predicts concrete compressive strength from mixture data and uses explainable AI (partial dependence plots and SHAP) to reveal how curing age and water-to-superplasticizer ratio shape strength.
Read case study02The Impact of Explainability Cues on Human Trust Calibration and Fact-Checking Effort in Large Language Model Interfaces
A large-scale study of 1,000 LLM interaction sessions that shows how citation, hedging, disclaimer, and confidence cues shape subjective trust and the effort users spend verifying answers.
Read case study03Development of a User Experience Quality Measurement Model for E-Learning Systems (EUXQ Model)
A model-development study that builds the E-Learning User Experience Quality (EUXQ) model to measure the dimensions that shape user experience quality in e-learning, validated with students using structural equation modeling.
Read case study04Comparison of TUXEL and MELSS Models for Evaluating User Experience and Success in E-Learning Systems
A comparative study of two e-learning evaluation models: TUXEL, which focuses on user experience and interaction, and MELSS, which assesses system success through system, information, and service quality.
Read case study05Ethical Nudges in E-Learning Interfaces: Behavioral, Cognitive, and Emotional Insights from Indonesian Users
A mixed-methods study of four nudge types in an Indonesian e-learning interface, examining their effects on task behaviour, cognitive workload, emotional response, and perceived ethicality.
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