Communication
Keywords: communicate
Abstract: The distinction between language imitation and genuine communication in AI has significant implications for the development of sophisticated language and chat robots. This essay proposes a new evaluative framework for assessing language models' capacity for true communication, characterized by understanding intent, emotional depth, and contextual adaptability. We introduce specific tasks to measure models' ability to decipher intent, maintain contextual coherence, and adapt to varied dialogue scenarios. Additionally, we discuss the integration of nonverbal communication in chat robots, focusing on facial expressions, gestures, and prosodic cues to enrich and clarify verbal interactions. By demonstrating the use of context-sensitive nonverbal behavior, we aim to establish a more human-like, efficient, and emotionally congruent communicative process in AI. This research represents a step toward enabling AI systems to engage in more meaningful and collaborative exchanges with humans, advancing them beyond mere textual response generators to entities capable of understanding and participating in the full spectrum of human communication.
Submission Number: 124
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