A brain-controlled mahjong game with artificial intelligence augmentation

Aug 27, 2022·
Xiaodi Wu
,
Yu Qi
祝歆韵
祝歆韵
,
Kedi Xu
,
Junming Zhu
,
Jianmin Zhang
,
Yueming Wang
· 1 min read
Abstract
Brain-computer interface (BCI) provides a direct pathway from the brain to external devices, which have demonstrated potential in rehabilitation and human-computer interaction. One limitation of current BCI lies in the low precision and stability in control, thus the user scenario and the interaction process play an important role in BCI applications. We propose to leverage the ability of artificial intelligence (AI) to improve the easy-of-use of BCIs. We designed a brain-controlled mahjong game with AI augmentation. As the user plays the game, an AI system continuously monitors the game and suggests several optimal candidate options, and the user directly selects from the candidates rather than from all the mahjong tiles in hand. This design enables the mahjong game with easy control, thus improving the user experience. Our system is evaluated by a human subject with an invasive BCI system. Results demonstrate that the subject can fluently control the system to play the mahjong game.
Type
Publication
CAAI International Conference on Artificial Intelligence

🔶 Enhancing BCI-Based Human-Computer Interaction with AI: A Case Study in Mahjong Gaming 🔶


🧠 What is BCI?

Brain-Computer Interface (BCI) provides a direct pathway between the brain and external devices (e.g., computers, neuroprosthetics).

  • Enables novel human-computer interaction.
  • Applications include:
    • 📝 BCI typewriters
    • 🎮 BCI games

⚠️ Current Challenges in BCI

1. Limited Bandwidth and Control Precision

  • Non-invasive BCIs: Can control robotic arms to track cursors, but bandwidth is limited.
  • Invasive BCIs: Offer higher bandwidth, but still lag behind natural motor control.

2. Signal Instability

  • Neural signals are nonstationary, causing unstable control performance.

🛠️ Efforts to Improve BCI Usability

🔡 Interface Design

  • Typewriter Interfaces:
    • Example: Hex-o-Spell (Berlin BCI)
      • Uses hexagonal visual layout.
      • Enhances bandwidth and usability.

🎮 Game-Based Interaction

  • Games tailored to BCI features make control more natural and engaging.

🤖 AI Integration

  • Recent studies incorporate AI language models to assist in BCI-based communication.

💡 Proposed Approach: AI-Augmented BCI Mahjong Game

Objective

Enhance the ease-of-use and experience of BCI control in gaming.

System Design

  • BCI Mahjong Game + AI Assistant
  • Instead of picking a tile directly, the system:
    • 📌 Suggests optimal candidate options.
    • ✅ User selects from these options—reduces fine control effort.

Advantages

  • 🎯 Simplifies user operation.
  • 🙌 Improves user experience.
  • 🎮 Makes BCI gaming more accessible and enjoyable.