Know what is collected
Participation should clearly explain the task data, interaction signals and research purpose before consent.
Participants can voluntarily complete selected cognitive challenges and contribute resulting interaction data to support task calibration, dataset formation and AI model development.
Participation should clearly explain the task data, interaction signals and research purpose before consent.
Participation is opt-in, with data handling governed by the applicable consent and participation controls.
Identity, interaction data, retention, deletion and any participation by minors require explicit controls.
Discover a rule from a visual or symbolic sequence.
Continue after a previously valid rule unexpectedly changes.
Work with information across progressively changing delay or interference.
Solve structured problems whose difficulty or available cues can be varied.
A participation session can contain signals beyond the final score: latency, consistency, correction, response after feedback, task-switch behavior and the relationship between performance and changing conditions.
This public workflow demonstrates the participation and consent structure. The preview itself does not submit, store or transmit information.
The participation flow establishes the participant category before any session-specific consent is requested.
Select a category to continue the preview.
People should understand what each data category contributes to before choosing whether to participate.
Research quality improves when people know what to expect and the task environment is reasonably controlled.
The next button opens the cognitive task simulation. No enrollment occurs through this public preview.