Lab

Research exploring forms for Physical AI systems using generative AI and computational design methods. Utilizing generative models such as GANs and VAEs to optimize form factors of robots and physical artifacts, and developing variable-response based design processes.

Collaborators: KAIST Robotics Research Center

Developing a framework for understanding and designing emotional responses in human-robot interaction. Conducting user research on social presence, emotional response, and acceptance, and experimentally validating interaction scenarios.

Research on quantitatively measuring social presence in robots and deriving design principles to enhance it. Analyzing components of social presence through user research and experiments, and presenting design guidelines.

Collaborators: KAIST Cognitive Science Research Center

Research experimenting with the boundaries between physical and digital spaces using XR and spatial computing technologies. Interpreting space itself as an interface and deriving new interaction patterns at the physical-digital boundary.

Developing parametric design methodology for optimizing forms of physical artifacts that respond to environmental variables. Modeling form-performance relationships and deriving optimal solutions using genetic algorithms and multi-objective optimization techniques.