In the Developmental Intelligence Laboratory, our primary research aim is to understand human learning and early development. How do young children learn to see the world around them? How do they learn to talk? How do they learn to communicate and interact with others?
A complimentary research line is to explore how human learning can teach us about how machines can learn. Can we model and simulate how a human child learns and develops?
- Development and Learning, Language Acquisition, Perception and Action, Visual Attention, Social Interaction, Computer Vision, Machine Learning
We examine the fine-grained structure of moment-to-moment micro-behaviors using advanced data collection and data analytics techniques.
- Statistical Language learning
- Vision, Attention, and Action
- Multimodal Social Interaction
- Computer Vision and Machine Learning
- Cognitive Modeling
Areas of Study:
- Cognitive Science
- Developmental Psychology
- Cognition, Development and Learning
- Statistical learning
- Embodied social cognition
- Multimodal human-human and human-robot interactions
- Perception and action
- Data mining and computational modeling
My research interests focus on understanding cognitive and computational mechanisms that support learning in infants, children and adults.
- Cognitive Development
- Word Learning
- Statistical Learning
- Computational Modeling
- Multimodal Interaction