ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2020, Vol. 28 ›› Issue (9): 1409-1425.doi: 10.3724/SP.J.1042.2020.01409

• 主编特邀 •    下一篇

智能时代的工程心理学

许为(), 葛列众   

  1. 浙江大学 心理科学研究中心, 杭州 310058
  • 收稿日期:2020-03-27 出版日期:2020-09-15 发布日期:2020-07-24
  • 通讯作者: 许为 E-mail:xuwei11@zju.edu.cn

Engineering psychology in the era of artificial intelligence

XU Wei(), GE Liezhong   

  1. Center for Psychological Sciences, Zhejiang University, Hangzhou 310058, China
  • Received:2020-03-27 Online:2020-09-15 Published:2020-07-24
  • Contact: XU Wei E-mail:xuwei11@zju.edu.cn

摘要:

智能技术为智能时代的工程心理学研究和应用提供了新的机遇。为此, 系统提出了智能时代工程心理学的工作框架。该工作框架包括工程心理学研究和应用的对象、核心问题空间、学科理念、研究重点、应用范围、方法等。智能时代的人机关系呈现出一种新的形式: 人机组队式的人机合作关系。“以人为中心的人工智能”应该是智能时代工程心理学的学科理念。针对智能技术, 近期工程心理学研究者开始开展围绕新型人机关系的理论框架和基本问题、人机组队中的心理结构和决策控制、人机交互等方面的研究工作。为有效支持智能系统的研发, 概括总结了一些工程心理学新方法和提升的方法。最后, 针对当前工程心理学所面对的一些挑战提出了具体的建议。

关键词: 工程心理学, 人因学, 人机组队, 智能系统, 自主化

Abstract:

Intelligent technology provides new opportunities for the research and applications of engineering psychology. To this end, a work framework of engineering psychology in the intelligent era is proposed. The framework includes the objectives of engineering psychology research and applications, core problem space, disciplinary philosophy, focus of research and applications, methods and so on. The human-machine relationship in the intelligent era has presented a new form: the human-machine cooperation in the form of human-machine teaming. “Human-centered artificial intelligence” should be the discipline philosophy of engineering psychology in the intelligent era. Aiming at intelligent technology, engineering psychology researchers have recently begun to carry out research work on the theoretical framework and basic issues surrounding the new human-machine relationship, mental construct, shared decision-making between human and machine, and the interaction design for intelligent systems. In order to effectively support the research and development of intelligent systems, new and enhanced methods of engineering psychology are summarized. Finally, specific suggestions are given for addressing the challenges faced by engineering psychology.

Key words: Engineering psychology, human factors, human-machine teaming, intelligent systems, autonomy

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