首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Decoding intentions from movement kinematics
  • 本地全文:下载
  • 作者:Andrea Cavallo ; Atesh Koul ; Caterina Ansuini
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • DOI:10.1038/srep37036
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:How do we understand the intentions of other people? There has been a longstanding controversy over whether it is possible to understand others' intentions by simply observing their movements. Here, we show that indeed movement kinematics can form the basis for intention detection. By combining kinematics and psychophysical methods with classification and regression tree (CART) modeling, we found that observers utilized a subset of discriminant kinematic features over the total kinematic pattern in order to detect intention from observation of simple motor acts. Intention discriminability covaried with movement kinematics on a trial-by-trial basis, and was directly related to the expression of discriminative features in the observed movements. These findings demonstrate a definable and measurable relationship between the specific features of observed movements and the ability to discriminate intention, providing quantitative evidence of the significance of movement kinematics for anticipating others' intentional actions.
国家哲学社会科学文献中心版权所有