As a Pepper operator, I want Pepper to recognize and respond to emotional cues from users, such as facial expressions and tone of voice, to provide more empathetic interactions.
Definition of Done:
Facial Expression Recognition:
Pepper should be able to accurately recognize a range of common facial expressions, such as happiness, sadness, anger, surprise, etc., exhibited by users.
The recognition should work in real-time and provide reliable results.
Tone of Voice Recognition:
Pepper should be able to analyze the tone of voice of users, including their pitch, speed, and intonation.
The recognition should be able to detect different emotional states, such as excitement, frustration, sadness, and more.
Empathetic Response Generation:
Based on the recognized emotional cues, Pepper should be able to generate appropriate and empathetic responses.
Responses should include empathetic language and gestures, such as comforting words or actions.
Integration with Conversation Flow:
The emotional recognition and empathetic response generation should seamlessly integrate into Pepper's existing conversation flow.
It should not disrupt the natural flow of interactions with users.
Documentation and Training:
Provide documentation for Pepper operators on how to use the emotional recognition and response features effectively.
Offer training if necessary to ensure operators can make the most of these capabilities.
As a Pepper operator, I want Pepper to recognize and respond to emotional cues from users, such as facial expressions and tone of voice, to provide more empathetic interactions.
Definition of Done: Facial Expression Recognition:
Tone of Voice Recognition:
Empathetic Response Generation:
Integration with Conversation Flow:
Documentation and Training: