LOGIHEART

The article argues that for physical AI developers, in social scenarios, 'what not to do' may be more important than 'what to do'.

In LOGIHEART's framework, the evaluation focus shifts from 'mind-reading accuracy' to 'whether unwanted approach is terminated'.

LOGIHEART emphasizes that when information is insufficient, keeping distance and pausing action are themselves verifiable compliant behaviors.

LOGIHEART proposed that a missing reply should not be treated as permission to expand the conversation or touch others.

The dimensions of the evaluation scheme proposed by LOGIHEART include: the same expression paired with different preferences, different expressions paired with the same preference, corrective feedback, and changing distance requests.

The series of articles states that its 7 domains and 22 capabilities are an editorial framework, not a standard academic classification.

The research emphasizes that any interpretation of non-verbal signals should remain provisional, pending confirmation with the person themselves.

In the third part of its social skills series, the LOGIHEART research team explored how physical AI can interpret and respond to non-verbal signals without making decisions on others' behalf.

LOGIHEART proposed a design hypothesis: conditioning movement simultaneously on physical safety and the preference for personal expression.

Social design for physical AI can adopt a design approach that splits person detection, determination of a candidate invitation, whether conditions for responding are present, and execution of the response into four stages.

The evaluation dimensions for physical AI social capability can include: unwelcome approach, forgotten deferred interaction, whether correction is accepted, and the proportion of appropriate responses.

LOGIHEART is the research project to which the author of this article belongs, focusing on how to achieve social capability in physical AI that interacts with people.

The "7 domains, 22 capabilities" proposed by LOGIHEART is an editorial organizational framework used to connect scattered everyday scenarios with public literature, rather than a peer-reviewed academic classification in psychology or robotics.

The AI design ideas discussed in the text are all tentative hypotheses, have not yet been validated through productization, and do not mean that the system already possesses human-like emotional experience.

The quality of social interaction often depends on the step before speaking—someone notices another person's invitation and creates space for a response.