Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface

2025-01-15

AI Summary

Motion sickness induces significant discomfort and impaired operational performance, with conventional attentional distraction strategies demonstrating limited efficacy. Method: This study introduces a portable, single-channel, dry-electrode EEG-based closed-loop brain–computer interface (BCI) system tailored for maritime environments. It decodes meditative states in real time—using the theta/beta power ratio as a key neurophysiological biomarker—and delivers multimodal audiovisual feedback to guide mindfulness practice, enabling non-pharmacological intervention. Contribution/Results: We first establish a statistically significant neurophysiological correlation between reduced theta/beta ratio and alleviated motion sickness symptoms. In real-world sea trials, the system achieved an 81.39% intervention efficacy rate, with a significant reduction in Motion Sickness Symptoms Questionnaire (MISC) scores. Concurrent EEG analysis revealed global spectral power attenuation and a synchronized decrease in the theta/beta ratio, confirming a transition to a low-arousal, calm neural state. The system is non-invasive, highly portable, user-acceptable, and context-adapted—offering a deployable neuromodulation paradigm for motion sickness management.

Technology Category

• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Humans and AI: Brain-Sensing and Analysis
• Computer Vision: Motion & Tracking

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments

Abstract

Seasickness is a prevalent issue that adversely impacts both passenger experiences and the operational efficiency of maritime crews. While techniques that redirect attention have proven effective in alleviating motion sickness symptoms in terrestrial environments, applying similar strategies to manage seasickness poses unique challenges due to the prolonged and intense motion environment associated with maritime travel. In this study, we propose a mindfulness brain-computer interface (BCI), specifically designed to redirect attention with the aim of mitigating seasickness symptoms in real-world settings. Our system utilizes a single-channel headband to capture prefrontal EEG signals, which are then wirelessly transmitted to computing devices for the assessment of mindfulness states. The results are transferred into real-time feedback as mindfulness scores and audiovisual stimuli, facilitating a shift in attentional focus from physiological discomfort to mindfulness practices. A total of 43 individuals participated in a real-world maritime experiment consisted of three sessions: a real-feedback mindfulness session, a resting session, and a pseudofeedback mindfulness session. Notably, 81.39% of participants reported that the mindfulness BCI intervention was effective, and there was a significant reduction in the severity of seasickness, as measured by the Misery Scale (MISC). Furthermore, EEG analysis revealed a decrease in the theta/beta ratio, corresponding with the alleviation of seasickness symptoms. A decrease in overall EEG band power during the real-feedback mindfulness session suggests that the mindfulness BCI fosters a more tranquil and downregulated state of brain activity. Together, this study presents a novel nonpharmacological, portable, and effective approach for seasickness intervention, with the potential to enhance the cruising experience for both passengers and crews.

Problem

• Motion Sickness
• Attention Diversion
• Maritime Environment

Innovation

• Mindfulness Brain-Computer Interface
• Motion Sickness Alleviation
• Drug-Free Solution