Our research focuses on developing robots that shape human interactions in complex and dynamic environments throughout day-to-day tasks. We do this by building robots that create user models and give personalized feedback for long-term skill acquisition. Our work mainly focuses on educational robotics, but we also do research in eldercare robotics, user modelling, and robotic social influence.
The lab is led by Dr Nicole Salomons. Her personal website can be found at: www.nicolesalomons.com
Our Research Themes
We create computational models of user skills enabling robots to optimally select actions to benefit the user.
* BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills
* Continuous Bayesian Knowledge Tracing - Robots that Model User Skills Over Time
* A thermal emotion classifier for improved human-robot interaction
In-the-wild Tutoring Systems
Our lab brings robots out of controlled lab settings into homes and schools, so we can analyze the effects of robots in more realistic scenarios.
* The Impact of an In-Home Co-Located Robotic Coach in Helping People Make Fewer Exercise Mistakes
* Improving social skills in children with ASD using a long-term, in-home social robot
Robotic Social Influence
We study how groups of robots exert social influence on people and how they can positively influence them.
* A minority of one against a majority of robots: Robots cause normative and informational conformity
* Prompting prosocial human interventions in response to robot mistreatment
* Humans conform to robots: Disambiguating trust, truth, and conformity
Multi-User Robotic Tutoring
We develop robotic systems that tutor multiple users at once.
* Autonomous disengagement classification and repair in multiparty child-robot interaction
* Comparing models of disengagement in individual and group interactions
* Emotional storytelling in the classroom: Individual versus group interaction between children and robots
Perception of Robots
We investigate how a robot's behavior impacts people and how people perceive different types of robots.
* We Make a Great Team!”: Adults with Low Prior Domain Knowledge Learn more from a Peer Robot than a Tutor Robot
* Perceived Agency of a Social Norm Violating Robot