Hannah Dinner
Papers
2
Total Citations
5
H-Index
2
About
Hannah Dinner is a rising researcher at the forefront of human-robot interaction, with a focused expertise in the psychological and relational dimensions of social robotics. Her primary contribution to the field is the development of the **Connection-Coordination Rapport (CCR) Scale**, a novel dual-factor instrument designed to rigorously measure the elusive quality of rapport between humans and robots. This work addresses a critical gap in robotics research: while rapport is recognized as essential for successful service and companion robots, there was previously no validated metric to quantify it. Dinner’s scale breaks down rapport into two core components—interpersonal connection and behavioral coordination—providing a systematic framework for evaluating and improving human-robot relationships. Though early in her career, her foundational paper on the CCR Scale has already garnered attention (with 3 and 2 citations in 2025 alone), signaling its immediate relevance to the robotics community. By equipping engineers and designers with a tool to assess the quality of human-robot bonds, Dinner is laying the groundwork for the next generation of socially intelligent machines that can build genuine, lasting connections with their users.
Research Focus
Key Achievements
Top Papers
- 1
- 2