Maliheh Ghajargar

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About

Dr. Maliheh Ghajargar is a pioneering researcher at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and interaction design. Her key research areas include explainable AI (XAI), tangible interaction, and embodied cognition, where she explores how physical forms and spatial experiences can make AI systems more transparent and understandable. Her most cited work, "Graspable AI: Physical Forms as Explanation Modality for Explainable AI" (2022, 19 citations), introduces a groundbreaking concept: using tangible, physical objects as explanation modalities to help users intuitively grasp how AI systems make decisions. This work challenges conventional verbal and visual explanations, proposing that physical interaction can bridge the gap between complex AI reasoning and human understanding. Dr. Ghajargar’s contributions are particularly impactful in democratizing AI literacy, making advanced technologies accessible to non-experts through design. Her research has been recognized for its interdisciplinary approach, blending cognitive science, design theory, and AI ethics. By reimagining explanation modalities, she is shaping the future of human-AI collaboration, where trust and comprehension are built through tangible, embodied experiences.