Nivelreuman

Nivelreuman is a concept in human–AI interaction research that denotes the degree to which an AI system, interface, or collaborative process operates in a way that mirrors human cognitive and social expectations during joint tasks. It functions as both a qualitative description and a quantitative metric to assess alignment with human users.

Etymology: The term mixes nivel, Spanish for "level," with reuman, a coined suffix derived from humano ("human"), intended to signal human-centered behavior in digital agents. The concept was proposed in academic discussions on human-centered AI to frame performance beyond raw efficiency.

Measurement: Nivelreuman is typically represented on a 0–100 scale and comprises several components, including cognitive compatibility (how well the system reasons and communicates), interpretability and transparency, social presence or empathy cues, and user trust. Assessors may combine objective task success with subjective user feedback.

Applications: It is used to evaluate consumer assistants, industrial robots, education technologies, and collaborative software projects, prioritizing human-friendly behavior, reliable explanations, and alignment with user goals.

Limitations: The metric faces challenges related to standardization, cross-domain comparability, and cultural variance in judgments about "human-like" behavior. Critics warn that focusing on nivelreuman may obscure other important metrics such as safety, fairness, and robustness.

See also: human-in-the-loop, human-centered AI, explainable AI, alignment.