- EEG neurofeedback compatible
- Negative feedback
- Continuous feedback
- Positive feedback
- Non-overstimulating game environments (e.g., graphics, audio)
- Customization options in the game (e.g., music, levels, modes, environments, character selection)
- Motivation-enhancing design across repeated training sessions
- Cross-session progress tracking
- Adjustable difficulty levels
- Personalized threshold calibration
- Suitable for all age groups (children, teenagers and adults)
- Adjustable screen brightness and volume
- Real-time feedback signaling (latency < 350 ms)
- Clearly defined game objectives
- Multilingual user manuals (English, German)
- Immersive, user-centered gaming experience
How does the Reward Prediction Error (RPE) support neurofeedback training in IFEN Sky-Fly?
- IFEN Sky-Fly is a neurofeedback game designed around the Reward Prediction Error (RPE) by linking real-time criteria with clear, motivating outcomes. Players earn points, and the flying figure only moves into the target circle when the feedback criterion is met, so the availability of rewards continuously updates with the trained brain state. A visible "distance-to-target" signal makes the feedback highly interpretable, supports a strong cause-and-effect relationship, and enables consistent shaping across multiple sessions. Based on reinforcement learning principles used to explain neurofeedback acquisition, Sky-Fly offers a streamlined feedback loop that keeps the reward signal meaningful and learnable over time.
Neurofeedback is understood as a reinforcement learning-based process of self-regulation, in which self-regulation is acquired through contingent feedback.
Motivation, the salience of the reinforcer, and sustained engagement are considered important moderators of learning success. Since the subjective motivational value of feedback can vary between individuals and decrease with repeated exposure, the adaptive design of feedback environments is discussed as an approach to maintaining effective reinforcement.
Against this background, offering multiple feedback or game options can be understood as a theoretically sound strategy to support engagement, reduce habituation effects, and maintain the reinforcing value of feedback across training sessions, thereby potentially promoting the stability of learning and the transfer of effects (Schwartz & Andrasik, 2016; Enriquez-Geppert et al., 2017; Lubianiker et al., 2022; Sitaram et al., 2024).
Here you can find more information about the IFEN Games and our packages.





