Joana Hois

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About

Joana Hois is a leading researcher in artificial intelligence, specializing in spatial cognition, ontology engineering, and human-robot interaction. Her work bridges the gap between symbolic reasoning and perceptual grounding, with a particular focus on enabling robots to understand and communicate about physical spaces through natural language. A cornerstone of her contribution is the development of domain ontologies that allow AI systems to interpret 3D environments from dialog-based inputs, as demonstrated in her highly cited 2007 paper, "Dialog-Based 3D-Image Recognition Using a Domain Ontology" (20 citations). This foundational work has influenced subsequent research in spatial reasoning and situated dialogue, helping to shape how robots perceive and describe their surroundings. Hois’s research is notable for its interdisciplinary approach, integrating insights from linguistics, cognitive science, and robotics to create more intuitive human-machine interfaces. Her achievements include advancing the formal representation of spatial knowledge, which has applications in autonomous navigation, assistive robotics, and smart environments. Through her rigorous ontology-driven methods, Hois has provided a critical framework for making AI systems more context-aware and communicatively competent.