# MI-028: Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review

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## Paper Access

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* DOI / official page: [10.1016/j.chbr.2024.100508](https://doi.org/10.1016/j.chbr.2024.100508)
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## MI-028: Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review

## Metadata

* ID: MI-028
* Title: Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review
* Year: 2024
* DOI / URL: 10.1016/j.chbr.2024.100508
* Local PDF: see Paper Access section above
* Text artifact: local-only path withheld from docs site
* Review status: `extracted`

## Study Type

* Track: MI / user training
* Task: systematic review of gamified MI-BCI training protocols
* Participants or dataset: 86 studies identified in the review
* Device/electrode setup: varies across reviewed studies
* Protocol/task: MI-BCI training with game design elements

## Methods

* Signal processing or analysis: systematic review of protocol design, game elements, user experience, and performance outcomes
* Training/calibration: focuses on user and system training
* Online/offline: literature review

## Key Results

* The review states that MI-BCI requires lengthy and monotonous training and that many users struggle with effective control.
* It reports that gamified protocols often use avatar movement in a virtual environment.
* The local text notes 15-30% of users may be unable to achieve effective BCI control beyond common thresholds.

## Limitations

* Review evidence does not prescribe one training protocol for SAH-BRI-Grasp.
* Effects of game elements vary and should be read at the primary-study level.
* Product/user-experience claims require project user testing.

## Relevance To Current Review

* Important for product direction and training burden.
* Supports designing MI as a deliberate user-training component, not just a classifier module.

## Evidence Status

| Claim | Status | Evidence Note |
| --- | --- | --- |
| MI-BCI training burden and user inefficiency are central problems. | verified | Abstract and introduction discuss lengthy training and users struggling with control. |
| Gamification is a recent strategy for MI-BCI training design. | verified | Abstract identifies gamified MI-BCI training protocols. |
| Gamification guarantees better SAH-BRI-Grasp control. | needs confirmation | Project-specific user training studies are required. |

## Open Questions

* Should SAH-BRI-Grasp use a training game before robotic-arm control?
* Which user experience metrics should be collected alongside accuracy?