Brain Activity and Decision-Making with Haptic Cues

In this study, we investigated the relationship between behavioral and brain responses during haptic interactions in a virtual environment. Using a helicopter aerial firefighting simulation, ten participants interacted with co-located and dis-located haptic cues. Behavioral data, including reaction times were analyzed using Drift-Diffusion Model (DDM) alongside event-related potentials, focusing on N200 and P300 features. Bland-Altman analyses revealed potential agreement between DDM drift rate parameter and ERP feature slopes, suggesting that internal cognitive processes can be inferred behaviorally. The results indicate that behavioral models, such as DDM, may reduce the need for direct brain measurements, with implications for haptic interface design.