AAGRIP  

AAGRIP is a cognitive neuroscience research project aimed at better understanding how the human brain perceives and adapts to Human-Machine interactions.

The experimental approach of the various studies developed within AAGRIP is based on the study of micro-variations in grip force as an indicator of cognitive processes, specifically those involved in the integration of Human-Machine interactions.

More central methods, such as electroencephalography, have proven effective in studying brain function but are not always applicable due to cost or the complexity of setup. Thus, the Grip Force paradigm opens opportunities to study cognitive processes, such as the perception of digital interactions for example, with very good temporal resolution through a device that can leave the laboratory. Associated studies:

• AAGRIP music: When gestures no longer predict the purpose or intention of an interaction, how can the brain adapt? Music is a formidable research material to help us better understand the perception of digital interactions.
• AAGRIP robot: The presence of social robots is growing in our societies, especially for vulnerable audiences. A better understanding of how we perceive them can improve the way machines perceive us and thus increase their potential to help or support humans.
• AAGRIP-EEG: What exactly is measured with Grip Force? Which brain processes can be captured by this physiological indicator? By combining electroencephalography and Grip Force, AAGRIP-EEG aims to provide answers awaited by a whole scientific community gathered around so-called « embodied » cognitive neuroscience.