A system and method provides an estimator game on a computing device for habituating complex learning processes, wherein the estimator game displays a source image on the computing device, and the computing system analyzes a particular image aspect of the visual image such as the percentage area of the visual image comprising a distinctive color, for example, the color black. The system includes an estimator module allowing the user to view and evaluate the image and subjectively enter an estimate associated with the image aspect. The estimation data is entered by the user, and stored by the processor in an associated computer readable memory, and then the estimation process is repeated with the user. The computing system runs the user through multiple image evaluations before providing performance feedback, wherein the estimator game generates feedback to the user in clusters or image sets. This allows the user to complete multiple iterations without feedback, and when the feedback is provided, the user can better recognize learning errors and patterns in order to build new skills. Without the awareness of when and where the user makes errors, the mistakes cannot be corrected to build expertise. The estimator game provides opportunities for further rehearsal after this detailed feedback including the opportunity to increase complexity by increasing variables or ambiguities associated with the images. As a result, the inventive system incorporates self-observation and pattern recognition by the user, which is critical to building any expertise.
SYSTEM AND PROCESS USING AN ESTIMATOR GAME FOR HABITUATING COMPLEX LEARNING PATTERNS