Per Fallgren
Papers
1
Total Citations
6
H-Index
1
About
Per Fallgren is a researcher whose work sits at the intersection of spoken language processing, multi-modal interaction, and dialogue systems. His most cited contribution, "FARMI: A FrAmework for Recording Multi-Modal Interactions" (2018, 6 citations), introduces a modular, open-source architecture for synchronizing and processing multi-modal sensor data—from audio and video to physiological signals—in real time. This framework is notable for its dual purpose: supporting both corpus collection and live system deployment, as demonstrated in a multi-party deception game involving six human players. Fallgren’s work addresses a critical bottleneck in human-computer interaction research: the need for reproducible, scalable tools that capture the richness of face-to-face communication. By providing a freely available implementation, he has enabled other researchers to design and analyze complex, ecologically valid interaction studies without reinventing the wheel. His contributions are particularly relevant for advancing context-aware dialogue systems and embodied conversational agents, where understanding non-verbal cues is essential. With a focus on bridging technical infrastructure and behavioral science, Fallgren’s research continues to shape how we build and evaluate the next generation of intelligent, multi-modal interfaces.
Research Focus
Key Achievements
Top Papers
- 1FARMI: A FrAmework for Recording Multi-Modal Interactions6 citations · 2018