Scholarlink

<p>The accelerating convergence of artificial intelligence (AI) and applied psychology has been accompanied by considerable scholarly attention; however, systematic knowledge mapping has remained underexplored. To delineate the intellectual structure of this intersection, the present study was undertaken through the synthesis of bibliometric evidence derived from the Scopus database. For the period between 1 January 2020 and 9 March 2025, a total of 2,276 publications were retrieved. Bibliometric analysis of knowledge mapping studies was subsequently conducted through the application of VOSviewer, and thematic structures were identified by means of cluster analysis. The first cluster, designated the AI core cluster, was characterised by research on AI, machine learning, and deep learning. The second cluster, labelled the GenAI cluster, was defined by ChatGPT, GenAI models, and AI-driven conversational agents. The third cluster, referred to as the applied psychology cluster, was associated with cognitive, educational, and social psychology. Novel insights into the field were yielded through the identification of evolving research trajectories, persistent knowledge gaps, and the uneven translation of AI-driven methodologies into applied psychological practice.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Unlocking New Insights for Artificial Intelligence in Applied Psychology: A Bibliometric Analysis and Knowledge Mapping Study

  • 期刊论文

  • 发表日期：

    2025年12月18日

查看全文
  • Hanvedes Daovisan

摘要

The accelerating convergence of artificial intelligence (AI) and applied psychology has been accompanied by considerable scholarly attention; however, systematic knowledge mapping has remained underexplored. To delineate the intellectual structure of this intersection, the present study was undertaken through the synthesis of bibliometric evidence derived from the Scopus database. For the period between 1 January 2020 and 9 March 2025, a total of 2,276 publications were retrieved. Bibliometric analysis of knowledge mapping studies was subsequently conducted through the application of VOSviewer, and thematic structures were identified by means of cluster analysis. The first cluster, designated the AI core cluster, was characterised by research on AI, machine learning, and deep learning. The second cluster, labelled the GenAI cluster, was defined by ChatGPT, GenAI models, and AI-driven conversational agents. The third cluster, referred to as the applied psychology cluster, was associated with cognitive, educational, and social psychology. Novel insights into the field were yielded through the identification of evolving research trajectories, persistent knowledge gaps, and the uneven translation of AI-driven methodologies into applied psychological practice.