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Tuikor ResearchA research framework for deciding how strongly AI social systems should trust explicit, inferred and temporary user intents.
Tuikor ResearchA benchmark framework for testing AI social matching when a new user has little history but can express goals in natural language.
Tuikor ResearchA benchmark for testing whether creator digital twins distinguish approved creator knowledge, public sources and model inference in their answers.
Tuikor ResearchA research framework for quantifying gesture, gaze, posture and transition consistency as part of persistent digital-human identity.
Tuikor ResearchA framework for testing whether AI social products move connections between discovery, active relationship, pause and closure states correctly.
Tuikor ResearchA benchmark framework for evaluating whether proactive AI companion messages are relevant, well-timed and non-pressuring across long relationships.
Tuikor ResearchA longitudinal test framework for checking whether relationship, notification and topic boundaries remain effective across future AI companion sessions.
Tuikor ResearchA protocol for keeping creator digital twin knowledge current while separating factual updates from stable personality and identity layers.
Tuikor ResearchA framework for evaluating nods, short acknowledgements and listening signals in real-time digital human conversation.
Tuikor ResearchA research model for representing social goals that change over time instead of treating one onboarding preference as a permanent user identity.
