Robotics
CONFIDANT: A Privacy Controller for Social Robots
17th ACM/IEEE International Conference on Human-Robot Interaction (2022)
Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu
A research project exploring privacy management in conversational social robots. We developed CONFIDANT, a privacy controller that leverages NLP models to analyze conversational metadata. I theorized, implemented, and evaluated the privacy controller, integrating speech transcription, sentiment analysis, speaker recognition, and topic classification systems. Our findings demonstrated that robots equipped with privacy controls are perceived as more trustworthy, privacy-aware, and socially aware.
CONFIDANT: A Privacy Controller for Social Robots
17th ACM/IEEE International Conference on Human-Robot Interaction (2022)
Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu
A research project exploring privacy management in conversational social robots. We developed CONFIDANT, a privacy controller that leverages NLP models to analyze conversational metadata. I theorized, implemented, and evaluated the privacy controller, integrating speech transcription, sentiment analysis, speaker recognition, and topic classification systems. Our findings demonstrated that robots equipped with privacy controls are perceived as more trustworthy, privacy-aware, and socially aware.
