Applied AI & Human–Computer Interaction Research
We sit at the intersection of theory and practice, designing intelligent systems that bridge the physical and digital worlds for education.
Research Focus
Kazoo is an applied research lab—not a purely academic institution, nor a product-only manufacturer.
AI-Driven Learning Intelligence
We develop algorithms that adapt to learner behavior in real-time, providing personalized feedback and scaffolding without human intervention.
Data-Driven Skill Modeling
Our systems track granular interaction data to model skill acquisition, moving beyond simple correct/incorrect metrics to understand how a student learns.
Human–Computer Interaction
We explore novel interfaces that reduce cognitive load and enhance engagement, making technology invisible so learning takes center stage.
Multimodal Interaction
Leveraging touch, physical objects (tangibles), and sensory feedback loops to create rich, embodied learning experiences.
Methodology
Our research is grounded in the real world. We don't just build prototypes; we validate them in the wild.
Our systems are tested in real classrooms with real students and teachers, ensuring robustness and pedagogical relevance.
We employ rapid prototyping and continuous testing cycles to refine our interaction models based on actual usage data.
We create tight loops between data analysis, pedagogical theory, and interaction design, ensuring that every design decision is evidence-based.