Data participation

Contribute structured interaction data to Hap Pines.

Participants can voluntarily complete selected cognitive challenges and contribute resulting interaction data to support task calibration, dataset formation and AI model development.

01 / informed

Know what is collected

Participation should clearly explain the task data, interaction signals and research purpose before consent.

02 / voluntary

Choose to contribute

Participation is opt-in, with data handling governed by the applicable consent and participation controls.

03 / protected

Appropriate safeguards

Identity, interaction data, retention, deletion and any participation by minors require explicit controls.

What a participation session may contain
Pattern task

Discover a rule from a visual or symbolic sequence.

Adaptation task

Continue after a previously valid rule unexpectedly changes.

Memory task

Work with information across progressively changing delay or interference.

Reasoning task

Solve structured problems whose difficulty or available cues can be varied.

What matters to the model

The interaction around the answer.

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.

Research note: This website build does not collect volunteer data. A real intake flow should only be enabled after consent language, privacy handling, eligibility rules and research safeguards are finalized.
Participation workflow

A clear intake flow for consent-based data contribution.

This public workflow demonstrates the participation and consent structure. The preview itself does not submit, store or transmit information.

HAP PINES / RESEARCH INTAKEVolunteer session readiness
PREVIEW ONLY
Step 01

Who would be participating?

The participation flow establishes the participant category before any session-specific consent is requested.

Select a category to continue the preview.

Step 02

Consent should be specific, not bundled.

People should understand what each data category contributes to before choosing whether to participate.

Important: This preview intentionally does not include a real consent checkbox. Production consent language must match the actual study protocol and applicable privacy/research requirements.
Step 03

Prepare the participant for the session.

Research quality improves when people know what to expect and the task environment is reasonably controlled.

ESTIMATED FORMATShort task blocks
DEVICEStable browser / screen
ENVIRONMENTLow distraction

The next button opens the cognitive task simulation. No enrollment occurs through this public preview.