Presentation
Establishing a Protocol for Neuroadaptive Decision Support: Integrating Transcranial Direct Current Stimulation (tDCS), EEG, and Reinforcement Learning
SessionPoster Session 1
DescriptionEffective decision-making is critical in high-stakes environments, yet current systems rarely adapt to a user’s cognitive state in real time. This presentation introduces a pilot study focused on developing a neuroadaptive decision-support protocol that integrates transcranial direct current stimulation (tDCS), EEG, and reinforcement learning. The goal is to understand how brain stimulation influences reward-based decision-making and cognitive control. Participants will perform a probabilistic decision-making task while receiving either active or sham tDCS over the prefrontal cortex, with concurrent EEG recording. We will analyze behavioral metrics like reaction time and learning rate, alongside neural markers such as feedback-related negativity and frontal theta power. This multi-modal approach allows us to assess how neuromodulation shapes adaptive behavior. Our ultimate aim is to inform the design of intelligent systems that respond to neural signals, improving performance and reducing cognitive overload in fields like healthcare and aviation. By establishing a validated experimental protocol, this study creates a foundation for future human-centered technologies that blend neuroscience, AI, and human factors engineering.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East