Todd Shore
Papers
1
Total Citations
6
H-Index
1
About
Todd Shore is a researcher whose work centers on the development of infrastructure for studying and enabling natural, multi-modal human-robot and human-computer interaction. His primary contribution is the creation of the FARMI (FrAmework for Recording Multi-Modal Interactions) architecture, a robust, open-source system designed for the synchronized collection and real-time processing of diverse sensor data, including audio, video, and motion capture. This framework, detailed in his most-cited 2018 paper (6 citations), directly addresses a critical bottleneck in the field: the need for standardized, reusable tools to capture the rich, complex data required for building and evaluating interactive systems. Shore demonstrated the framework's practical utility by deploying it in a multi-party deception game involving six human players, showcasing its ability to handle complex, real-world interaction scenarios. By providing a freely available, well-architected solution, Shore's work empowers other researchers to focus on higher-level interaction design and analysis, rather than wrestling with low-level data collection challenges, thereby accelerating progress in the study of social robotics and intelligent environments.
Research Focus
Key Achievements
Top Papers
- 1FARMI: A FrAmework for Recording Multi-Modal Interactions6 citations · 2018