Empathetic Intelligence: LLM-Based Conversational AI Voice Agent
Keywords:
AI, LLM, Sentiment Analysis, Human computer Interaction, Voice Agent, LLM frameworks, Empathetic IntelligenceAbstract
This paper discusses the development of an empathetic intelligence framework for conversational AI voice agents based on LLM (Large Language Models). Being able to hold empathetic conversations is important in enhancing user experience and trust in this digital era, which is characterized by human computer interactions. Therefore, this research proposes a new methodology to implant empathy into LLMs so that AI can detect, understand, and react to human emotions as well. An approach that embeds emotional intelligence characteristics within state-of-the-art LLM frameworks will elicit responses from voice agents that are not only contextual but also emotionally relevant. In this work, we shall develop the sentiment analysis model with reduced response time while still attaining accuracy from LLMs at once. This study highlights the importance of AI systems having empathy in their relationships with humans, towards future enhancements leading to more sympathetic and lifelike AI systems.
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