Eran Raveh
Papers
1
Total Citations
6
H-Index
1
About
Eran Raveh is a researcher whose work centers on the development of frameworks and tools for capturing and analyzing complex, multi-modal human interactions. His primary research area lies at the intersection of human-computer interaction, sensor data processing, and corpus collection, with a focus on designing architectures that can seamlessly integrate diverse data streams. Raveh’s major contribution is the creation of FARMI (A FrAmework for Recording Multi-Modal Interactions), an open-source system that provides a robust processing architecture for collecting synchronized multi-modal sensor data. This framework is designed for both offline corpus collection and real-time processing, making it a versatile tool for studying nuanced social behaviors. The impact of this work is demonstrated by its 6 citations, which, while modest in number, reflect its foundational role in enabling other researchers to conduct sophisticated interaction studies. Notably, Raveh validated FARMI through a compelling use-case: a multi-party deception game involving six human players, showcasing the framework’s ability to capture rich, synchronized data in ecologically valid, dynamic settings. This achievement highlights Raveh’s commitment to advancing the methodological tools that underpin empirical research in social signal processing and collaborative interaction.
Research Focus
Key Achievements
Top Papers
- 1FARMI: A FrAmework for Recording Multi-Modal Interactions6 citations · 2018