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This is an EEG game that helps meditation beginners who don’t know how to create a image anchor when led by teacher’s guidance and achieve a meditative state. Unlike the Focus Meditation(FM) APPs currently on the market, our game doesn’t need them to pay attention to multi-channel information e.g. background music and changing graphics at the same time to imagine the peaceful scene. We directly provide them a visible world. With EEG device, our system can visualize the state of mind during meditation, so that they can intuitively see whether they are doing right. Moreover, we can also use the real-time performance data collect by EEG to give user accurate training advice, compared with the existed APPs reporting general results.
Meditation beginners, especially those who struggle with traditional meditation due to the difficulty of visualizing an instructor-guided anchor.
Arduino,
TouchDesigner,
C4D
You, the player, are the spirit of a volcano, and you can stop the eruption from destroying the peaceful village by making your inner peace.
In this progress, Mediwave includes several key components:
Real-time EEG Feedback: Shows users their current meditation state, allowing for immediate adjustments.
Customized Meditation Guidance: Tailored advice based on EEG data to enhance meditation effectiveness.
User Interaction Design: Simplified user interface to facilitate ease of use and enhance learning outcomes.
Mind Anchoring Point: A peaceful village is set up at the beginning of the story, which is the player's first impression of the scene, and this provides a psychic anchor point for the player. Players will rely on this information afterwards, and will be more inclined to restore the scene to a peaceful state than to fall into chaos.
To understand the process of establishing and maintaining a mental anchor during meditation.
To gain knowledge about interpreting EEG feedback to optimize meditation techniques.
To learn strategies to enhance focus and reduce distractions during meditation.
To encourage self-reflection on personal meditation habits through consistent practice and feedback.
Cognitive Load Theory: Mediwave reduces extraneous cognitive load, allowing users to focus more effectively on meditation.
Feedback Intervention Theory: Provides real-time and personalized feedback, crucial for users to adjust and improve their meditation techniques.
Multimedia Learning Theory: Uses a combination of visual cues and direct feedback to enhance meditation learning more effectively than traditional methods.
Coherence Principle: Removes non-essential content to deepen learning.
Signaling Principle: Highlights essential information with visual cues to organize learning content effectively.
Spatial Contiguity Principle: Positions related text and visuals closely to improve learning efficiency.
Temporal Contiguity Principle: Synchronizes related animations and narrations for enhanced retention.
Multimedia Principle: Integrates verbal and pictorial information to facilitate meaningful learning.
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