Interruption response by an artificial intelligence character

A method for use by a system including a hardware processor and a system memory, the system memory storing a software code including an interruption response strategy identification engine and an artificial intelligence (AI) character persona database having stored thereon a plurality of character personas, and a machine learning (ML) model trained to detect an interruption to a conversation by a participant in the conversation, the method comprising:

• detecting, by the software code executed by the hardware processor, during a conversational turn by a first AI character in an interaction with at least one of a human or a second AI character, sound produced by the at least one of the human or the second AI character;
• classifying, by the software code executed by the hardware processor and using the ML model, the sound as one of an interruption to the interaction by the at least one of the human or the second AI character, or as irrelevant to the interaction;
• when the sound is classified as irrelevant to the interaction:
• continuing, by the software code executed by the hardware processor, the conversational turn by the first AI character;
• when the sound is classified as the interruption:
• identifying, by the software code executed by the hardware processor, using the interruption response strategy identification engine and based on a first character persona of the plurality of the character personas corresponding to the first AI character, a response strategy for continuing the interaction;
• and
• executing, by the software code executed by the hardware processor, in real-time using word-level time-stamping and streaming playback of speech of the first AI character, the identified response strategy including at least one of:
• (i) retention, by the first AI character, of the conversational turn, (ii) relinquishment, by the first AI character, of the conversational turn, or (iii) a negotiation, with the at least one of the human or the second AI character, to determine the retention or the relinquishment of the conversational turn by the first AI character.

A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor, instantiate a method comprising:

• detecting during a conversational turn by a first artificial intelligence (AI) character in an interaction with at least one of a human or a second AI character, sound produced by the at least one of the human or the second AI character;
• classifying using a machine learning (ML) model trained to detect an interruption to a conversation by a participant in the conversation, the sound as one of an interruption by the at least one of the human or the second AI character, or as irrelevant to the interaction;
• when the sound is classified as irrelevant to the interaction:
• continuing the conversational turn by the first AI character;
• when the sound is classified as the interruption:
• identifying, using an interruption response strategy identification engine, and based on a character persona corresponding to the first AI character, a response strategy for continuing the interaction;
• and
• executing, in real-time using word-level time-stamping and streaming playback of speech of the first AI character, the identified response strategy including at least one of:
• (i) retention, by the first AI character, of the conversational turn, (ii) relinquishment, by the first AI character, of the conversational turn, or (iii) a negotiation, with the at least one of the human or the second AI character, to determine the retention or the relinquishment of the conversational turn by the first AI character.