Carla Gordon

Papers

Total Citations

H-Index

About

Carla Gordon is a researcher at the intersection of human-robot interaction and dialogue systems, with a primary focus on automating collaborative communication between humans and robots. Her key contributions center on developing classification-based approaches to streamline human-robot dialogue, particularly in high-stakes collaborative tasks like search and navigation. Gordon’s most cited work, "A Classification-Based Approach to Automating Human-Robot Dialogue" (2021, 4 citations), introduces a framework that enables robots to interpret and respond to human speech more efficiently by categorizing dialogue into actionable intents. Her earlier study, "Balancing Efficiency and Coverage in Human-Robot Dialogue Collection" (2018, 2 citations), describes an innovative multi-phased Wizard-of-Oz method for collecting natural dialogue data. This approach balances the need for broad conversational coverage with the practical constraints of data collection, and the resulting dataset is being used to train an initial automated robot dialogue system for collaborative exploration. Gordon’s work is notable for its practical methodology, directly addressing the challenge of building robust, real-world dialogue systems from limited data. Though her citation counts are modest, her research lays critical groundwork for more intuitive and effective human-robot teamwork.