Exploring the Dynamics of Human-AI Interaction: Insights from Neuroscience
Keywords:
Human AI interaction, Neuroscience, AI companionship, neural mechanismsAbstract
This article takes a multidisciplinary approach to the dynamics of human-AI interaction, drawing on ideas from neuroscience and qualitative research. We look on the psychological and brain processes that underpin human-AI relationships, focusing on themes such as AI companionship, neural mechanisms and emotional processing. Qualitative data gathered through semi-structured interviews provide deep insights into individuals' interactions with AI companions. Thematic analysis exposes topics such as AI companionship's therapeutic role, mind processing theory, and human-AI interactions' emotional depth. Neuroscientific data reveals that our brains view AI entities as social beings, participating in cognitive processes comparable to those used in human-human interactions. Methodological considerations, such as sample representation and data processing methodologies, are examined, along with suggestions for future research. This study broadens our understanding of human-AI interaction and enlightens the development of emphatic AI systems that increase human well-being and social connectivity. The study's sample size is diverse, ranging in age from 25 to 50 years old, with a gender distribution of 60% female and 40% male, ensuring broad demographic coverage.
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