Separable amygdala activation patterns in the evaluations of robots.

Journal: Cerebral cortex (New York, N.Y. : 1991)
PMID:

Abstract

Given the increasing presence of robots in everyday environments and the significant challenge posed by social interactions with robots, it is crucial to gain a deeper understanding into the social evaluations of robots. One potentially effective approach to comprehend the fundamental processes underlying controlled and automatic evaluations of robots is to probe brain response to different perception levels of robot-related stimuli. Here, we investigate controlled and automatic evaluations of robots based on brain responses during viewing of suprathreshold (duration: 200 ms) and subthreshold (duration: 17 ms) humanoid robot stimuli. Our behavioral analysis revealed that despite participants' self-reported positive attitudes, they held negative implicit attitudes toward humanoid robots. Neuroimaging analysis indicated that subthreshold presentation of humanoid robot stimuli elicited significant activation in the left amygdala, which was associated with negative implicit attitudes. Conversely, no significant left amygdala activation was observed during suprathreshold presentation. Following successful attenuation of negative attitudes, the left amygdala response to subthreshold presentation of humanoid robot stimuli decreased, and this decrease correlated positively with the reduction in negative attitudes. These findings provide evidence for separable patterns of amygdala activation between controlled and automatic processing of robots, suggesting that controlled evaluations may influence automatic evaluations of robots.

Authors

  • Zhengde Wei
    Department of Psychology, School of Humanities & Social Science, University of Science & Technology of China, Hefei, Anhui, 230026, China.
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Qian Zhao
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jiecheng Ren
    Department of Radiology, the First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, 230027, China.
  • Yi Piao
    Gilead Sciences KK, Tokyo, Japan.
  • Pengyu Zhang
    School of Software, Shandong University, Jinan, Shandong 250101, China.
  • Rujing Zha
    Department of Psychology, School of Humanities & Social Science, University of Science & Technology of China, Hefei, Anhui 230026, China.
  • Bensheng Qiu
    Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.
  • Daren Zhang
    Department of Psychology, School of Humanities & Social Science, University of Science & Technology of China, Hefei, Anhui, 230026, China.
  • Yanchao Bi
    State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China. Electronic address: ybi@bnu.edu.cn.
  • Shihui Han
    School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100091, China.
  • Chunbo Li
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University.
  • Xiaochu Zhang
    Department of Psychology, School of Humanities & Social Science, University of Science & Technology of China, Hefei, Anhui, 230026, China.