人工智能技术赋能心理学发展的现状与挑战  

Artificial intelligence empowering psychological research:current status and challenges

作　　者：刘冬予 骆方 屠焯然[2] 饶思敬 沈阳 LIU Dongyu;LUO Fang;TU Zhuoran;RAO Sijing;SHEN Yang(State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing,China;Faculty of Psychology,Beijing Normal University,Beijing,China;Collaborative Innovation Center of Assessment for Basic Education Quality,Beijing Normal University,Beijing,China;Faculty of Electronic Science and Technology,Beijing University of Technology,Beijing,China)

机构地区：[1]北京师范大学认知神经科学与学习国家重点实验室,北京 [2]北京师范大学心理学部,北京 [3]北京师范大学中国基础教育质量监测协同中心,北京 [4]北京工业大学电子科学与技术学院,北京

出　　处：《北京师范大学学报（自然科学版）》2024年第1期30-37,共8页Journal of Beijing Normal University(Natural Science)

基　　金：科技部“新一代人工智能”重大基金资助项目(2022ZD0115902);北京师范大学协同创新中心自主课题资助项目(2022-01-131-BZK01)。

摘　　要：从数据收集和分析入手,剖析了人工智能技术在心理学研究中的应用趋势和潜在问题;梳理并分析了人工智能技术赋能心理学分支学科诸如认知神经科学、社会和消费心理学、精神病理学、心理测量学等的发展与应用;阐释了人工智能技术为心理学研究方法与范式变革所提供的技术支撑;探讨了数据驱动研究的局限性及大数据样本的有偏性,以及现阶段人工智能技术与心理学交叉融合的学科路径与未来融合的前景,以期为推动心理学与人工智能技术的深度交叉、双向赋能、协同发展提供参考.The demand for innovative research methods in psychology is reviewed,starting with data collection and analysis.Application trends and potential issues of artificial intelligence technology in psychological research are summarized.The development and application of artificial intelligence technology in various sub-disciplines of psychology(cognitive neuroscience,social and consumer psychology,psychopathology,and psychometrics)are explored.The technical support provided by artificial intelligence technology for the transformation of research methods and paradigms in psychology are highlighted,as well as limitations of data-driven research,and bias of big data.The current interdisciplinary path and future prospects of the intersection of artificial intelligence technology and psychology are discussed.

关 键 词：人工智能 大数据 多模态数据 机器学习 交叉融合 

分 类 号：B841[哲学宗教—基础心理学]