  The demand for social robots in fields like healthcare, education, and
entertainment increases due to their emotional adaptation features. These
robots leverage multimodal communication, incorporating speech, facial
expressions, and gestures to enhance user engagement and emotional support. The
understanding of design paradigms of social robots is obstructed by the
complexity of the system and the necessity to tune it to a specific task. This
article provides a structured review of social robot design paradigms,
categorizing them into cognitive architectures, role design models, linguistic
models, communication flow, activity system models, and integrated design
models. By breaking down the articles on social robot design and application
based on these paradigms, we highlight the strengths and areas for improvement
in current approaches. We further propose our original integrated design model
that combines the most important aspects of the design of social robots. Our
approach shows the importance of integrating operational, communicational, and
emotional dimensions to create more adaptive and empathetic interactions
between robots and humans.
