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Zukor's Air - Neurofeedback Game 3D
Zukor's Air - Neurofeedback Game 3D
Regular price
650,00 €
Regular price
Sale price
650,00 €
Unit price
per
Including VAT
In a vibrant sky world, the trainee pilots a flying machine across the Pacific Ocean from San Francisco to Japan, calmly flying through floating rings to collect points.
Positive feedback: points, stable flight, pleasant audio feedback
Negative feedback: Fewer points or no progress, less appealing visual/audible feedback
Customization: With multiple environments and a wide selection of characters (from airplanes to animals to fantasy creatures) as well as suitable music for each world, the experience can be customized to remain motivating in the long term.
Performance presentation
Progress
Adjustment
Couldn't load pickup availability
In stock
Delivery time approx. 1-4 working days
Transparent VAT regime for EU business customers
Transparent VAT regime for EU business customers
All prices include 19% German VAT. For business customers from the EU, VAT will be automatically removed at checkout after entering a valid VAT ID number (reverse charge).
Requirements and compatibility
Requirements and compatibility
- Neurofeedback system such as Discovery 24, Atlantis 4 Channel, 2EB+
- Brain Avatar Acquisition 4.0
- Brain Avatar Training 4.0
Neurofeedback is understood as a self-regulation process based on reinforcement learning, in which self-regulation is acquired through contingent feedback.
Motivation, salience of the reinforcer, and sustained willingness to engage 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 maintain 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 learning stability and the transfer of effects (Schwartz & Andrasik, 2016; Enriquez-Geppert et al., 2017; Lubianiker et al., 2022; Sitaram et al., 2024).
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