Which system uses voice or text to facilitate human-machine interactions?

Conversational systems are specifically designed to enable interactions between humans and machines through natural language processing (NLP). These systems use either voice or text to facilitate communication, allowing users to engage in dialogue with software applications, virtual assistants, or other types of AI interfaces. The primary goal of conversational systems is to create a seamless and intuitive experience for the user, making technology more accessible and user-friendly. This capability is key in applications such as chatbots, virtual assistants like Siri or Alexa, and customer service interfaces that rely on natural language understanding.

In contrast, embedded systems typically refer to specialized computing systems that perform dedicated functions, like controlling devices, without direct focus on human communication. Control systems, on the other hand, are used to manage and regulate the behavior of devices or processes without the interactive communication element seen in conversational systems. Predictive models analyze data to forecast outcomes, but they do not interact with users in a conversational manner. Thus, conversational systems stand out for their role in facilitating human-machine interactions through voice or text.