心理与行为研究 ›› 2022, Vol. 20 ›› Issue (1): 22-28.DOI: 10.12139/j.1672-0628.2022.01.004

• 基础心理学 • 上一篇    下一篇

三维动静态场景下返回抑制的扩散

刘艳艳1, 李杰2,3, 赵起超4, 陈贝贝5, 张禹1   

  1. 1. 北京体育大学心理学院,北京 100084;
    2. 杭州师范大学附属医院认知与脑疾病研究中心,杭州 311121;
    3. 杭州师范大学心理科学研究院,杭州 311121;
    4. 北京津发科技股份有限公司,北京 100085;
    5. 天津师范大学,天津 300387
  • 收稿日期:2020-06-09 发布日期:2022-01-20
  • 通讯作者: 李杰,E-mail:lijie.psy@hznu.edu.cn;张禹,E-mail:zhangyu@bsu.edu.cn
  • 基金资助:
    浙江省自然科学基金探索项目(LY21C090005);杭州师范大学科研启动经费项目(RWSK20200407)

Diffusion of Inhibition of Return in 3D Dynamic and Static Scenes

LIU Yanyan1, LI Jie2,3, ZHAO Qichao4, CHEN Beibei5, ZHANG Yu1   

  1. 1. School of Psychology, Beijing Sport University, Beijing 100084;
    2. Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou 311121;
    3. Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121;
    4. Kingfar International Inc., Beijing 100085;
    5. Tianjin Normal University, Tianjin 300387
  • Received:2020-06-09 Published:2022-01-20

摘要: 使用虚拟现实技术探讨三维动静态空间下返回抑制是否敏感于深度线索及返回抑制效应是否存在空间扩散。采用线索−靶子范式,分别设置三维静态和动态场景。结果发现:三维静态场景,不同深度及不同侧位置均发生返回抑制且产生效应大小有差异;三维动态场景,不同线索条件反应时无显著差异。结果表明,三维静态场景下,返回抑制敏感于深度线索,其效应在空间中存在扩散;客体运动破坏了返回抑制的产生及其效应的空间扩散。

关键词: 返回抑制, 虚拟现实, 动态场景, 注意

Abstract: This study explored whether inhibition of return (IOR) is sensitive to depth in 3D static and dynamic scenes using virtual reality technology. We also tested whether the IOR effect spatially diffuses. A classical cue-target paradigm with 3D static and dynamic scenes was used in the experiments. The results showed that in 3D static scene the IOR was robust at all three invalid cued positions, and the magnitude of the IOR effects varied at the different positions. In 3D dynamic scene, there was no significant difference in response time at all four positions. The results indicate that, in 3D static scene, IOR is sensitive to depth and has spatial-diffusion effect. The movements of objects destroy the IOR and its spatial-diffusion effect.

Key words: inhibition of return, virtual reality, dynamic scene, attention

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