Dr Di Fu


Lecturer in Cognitive Neuroscience | Human-Robot/AI Interaction | Social Media Lead
PhD
Tue 15:00-16:00 (@28AC04 or online)

About

Areas of specialism

Cognitive Neuroscience (fMRI and EEG); Cognitive Simulation; Human-Robot Interaction; Crossmodal Learning; Social Attention; Social Interaction

University roles and responsibilities

  • Director of Digital Intelligence for Future Users Lab
  • Prgramme Co-leader for MSc Game Design and Digital Innovation
  • Social Media Lead for the School of Psychology

    Supervision

    Completed postgraduate research projects I have supervised

    Teaching

    Publications

    Bibing Dai, Di Fu, Guangteng Meng, Bingsheng Liu, Qi Li, Xun Liu (2020)The Effects of Governmental and Individual Predictors on COVID-19 Protective Behaviors in China: A Path Analysis Model, In: Public Administration Review80(5)pp. 797-804 Wiley

    The COVID-19 pandemic has plunged the world into a crisis. To contain this crisis, it is essential to build full cooperation between the government and the public. However, it is unclear which governmental and individual factors are determinants and how they interact with protective behaviors against COVID-19. To resolve this issue, this study builds a multiple mediation model. Findings show that government emergency public information such as detailed pandemic information and positive risk communication had greater impact on protective behaviors than rumor refutation and supplies. Moreover, governmental factors may indirectly affect protective behaviors through individual factors such as perceived efficacy, positive emotions, and risk perception. These findings suggest that systematic intervention programs for governmental factors need to be integrated with individual factors to achieve effective prevention and control of COVID-19 among the public.

    Additional publications