Mattias Bystedt
Papers
1
Total Citations
6
H-Index
1
About
Mattias Bystedt is a researcher focused on human-computer interaction and multi-modal sensor systems. His primary contributions lie in developing frameworks for capturing and analyzing complex, real-time interactions between humans and machines. His most notable work, "FARMI: A FrAmework for Recording Multi-Modal Interactions," introduces an open-source processing architecture designed to collect multi-modal sensor data for both corpus collection and real-time processing. The framework was validated through a compelling use-case: a multi-party deception game involving six human players, demonstrating its practical utility in studying nuanced social dynamics. While his citation count of 6 reflects a focused, emerging impact, the FARMI framework represents a foundational tool for researchers in embodied interaction and affective computing. Bystedt’s work is particularly valuable for its emphasis on open-source accessibility, enabling other labs to replicate and extend his methods. His research bridges the gap between technical sensor integration and psychological experimentation, offering a robust platform for exploring how humans communicate through gesture, gaze, and speech in collaborative or competitive settings.
Research Focus
Key Achievements
Top Papers
- 1FARMI: A FrAmework for Recording Multi-Modal Interactions6 citations · 2018