Human–AI Interaction and Behavioral Adaptation: A Psychological Review
DOI:
https://doi.org/10.61424/xpahrk54Keywords:
Human–AI interaction, behavioral adaptation, psychology, artificial intelligence, human behavior, cognitive processes, technology acceptance, anthropomorphism, digital well-being, human-centered AI.Abstract
The rapid integration of Artificial Intelligence (AI) into education, healthcare, workplaces, and everyday digital environments has fundamentally transformed patterns of human behavior and social interaction. This psychological review examines the dynamic relationship between humans and AI systems, focusing on how repeated interactions with intelligent technologies influence cognitive processes, emotional responses, decision-making, social behaviors, and behavioral adaptation. Drawing upon established psychological theories, including Social Cognitive Theory, Technology Acceptance Model, Cognitive Load Theory, Self-Determination Theory, and Human–Computer Interaction frameworks, the study synthesizes existing empirical findings to explore both the benefits and challenges associated with human–AI engagement. The review reveals that AI technologies enhance productivity, personalize experiences, and support learning and problem-solving processes; however, excessive dependence on AI may contribute to reduced critical thinking abilities, diminished autonomy, algorithmic trust biases, social isolation, and altered interpersonal communication patterns. Furthermore, behavioral adaptation is shown to be influenced by factors such as age, digital literacy, perceived usefulness, ethical concerns, transparency, and cultural contexts. The study also highlights emerging psychological phenomena, including anthropomorphism, emotional attachment to AI agents, and shifts in human identity and self-perception resulting from prolonged AI exposure. The findings underscore the importance of developing human-centered AI systems that promote psychological well-being while preserving human agency and ethical responsibility. This review contributes to the growing interdisciplinary discourse on human–AI coexistence and provides recommendations for policymakers, educators, designers, and mental health professionals seeking to foster healthy and sustainable human adaptation to intelligent technologies. Future research should employ longitudinal and cross-cultural approaches to better understand the long-term psychological implications of increasingly sophisticated AI systems.
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