AI + PSYCHOLOGY
DAI Bao, ZHENG Yiqing, YANG Liying, CAO Xiongfei
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With the widespread application of artificial intelligence (AI) technology, the phenomenon of AI dependence has become increasingly salient. In light of this, the present paper outlines the current research landscape and proposes future research prospects for AI dependence from the following aspects: conceptual definitions, measurement tools, theoretical foundation, influencing factors, and major consequences. AI dependence generally refers to a situation where certain users' reliance on AI goes far beyond normal usage levels, progressing to the point of excessive dependence or even addiction. Findings showed that there is still no consensus on the conceptual definition of AI dependence, and measurement tools remain relatively limited. The theoretical foundations of AI dependence research primarily include the Attachment Theory, I-PACE Model, Self-Efficacy Theory, and others. The key influencing factors of AI dependence encompass user-related factors (e.g., psychodynamic factors, psychological process factors, psychological characteristic factors), technological environment factors (e.g., AI technology characteristics), and social environment factors (e.g., social isolation). The main consequences of AI dependence include psychological impacts (e.g., diminished personal capabilities, increased negative emotions) and behavioral impacts (e.g., academic procrastination, sleep disorder). In the future, studies should further advance AI dependence research by deepening conceptual definitions and measurement tools development, enhancing the cross-disciplinary application of theoretical frameworks, broadening the examination of contributing factors, strengthening the investigation into its consequential effects, and conducting intervention research.