Our project explores how humans and an anthropomorphic robot, powered by a sophisticated Large Language Model (LLM), achieve alignment in conversations.
To measure the alignment, we will be running experiments of human-robot interactions with a Furhat robot. Asking the participants to complete a ranking tasks before and afterward to quantify the robot influence over the subject.
You'll find here the implementation of the Furhat client that will make the connection between the Furhat robot and the LLM API.
To run the Furhat client please follow the instructions of the quickstart documentation.
This project was made by:
- Aswin Shaji
- Guilhem Santé
- Jake Peterson
- Jeff Sherer
- Marc Puig Arocas
- Maximilien Bildstein
- Mizan Haque
- Prudhvi Venkata Sai Paleti
- Robbie McPherson
- Sattwik Mohanty
Under the supervision of:
- Alessandro Sugglia
- Marta Romeo
- Greta Gandolfi
