Unveiling Human-AI Interaction and Subjective Perceptions About Artificial Intelligent Agents

This work focuses on human-AI interactions, employing a crowd-based methodology to collect and assess the reactions and perceptions of a human audience to a dialogue between a human and an artificial intelligent agent. The study is conducted through a live streaming platform where human streamers broadcast interviews to a custom-made GPT voice interface. The questions extracted from the dialogues were categorized based on emotional and cognitive criteria. Our method covers thematic, emotional, and sentiment analyses of the comments platform users shared during the interview. This work aims to contribute to Human-Computer Interaction (HCI) and Human-Centered AI, emphasizing the need for a paradigm shift in AI research from focusing on technological development to considering its impact on human beings.