Dr. Di Fu

Links

• Google Scholar

Research Interest

• Attention
• Human-Robot Interaction

Doctoral Thesis

Interaction between Attentional Capture and Executive Control in Conflict Processing

Publications

• Andriella, A., Siqueira, H., Fu, D., Magg, S., Barros, P., Wermter, S., ... & Alenyà, G. (2020). Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits. International Journal of Social Robotics, 1-22.
• Dai, B., Fu, D., Meng, G., Liu, B., Li, Q. and Liu, X. (2020). The effects of governmental and individual predictors on COVID-19 protective behaviors in China: a path analysis model. Public Administration Review.  (co-first authorship)
• Fu, D., Weber, C., Yang, G., Kerzel, M., Nan, W., Barros, P., Wu, H., Liu, X., & Wermter, S. (2020). What can computational models learn from human selective attention? A review from an audiovisual unimodal and crossmodal perspective. Frontiers in Integrative Neuroscience. 14: 10.
• Yang, Z., Fu, D., Qi, Y., Zheng, Y., Li, Q., & Liu, X. (2019). Humor affects fairness considerations in the gain and loss contexts. Frontiers in Psychology. 9: 2679. (co-first authorship)
• Zamani, M. A., Magg, S., Weber, C., Fu, D., & Wermter, S. (2018). Deep reinforcement learning using compositional representations for performing instructions. Paladyn, Journal of Behavioral Robotics, 9(1), 358-373.
• Fu, D., Barros, P., Parisi, G. I., Wu, H., Magg, S., Liu, X., & Wermter, S. (2018). Assessing the contribution of semantic congruency to multisensory integration and conflict resolution. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop on Crossmodal Learning for Intelligent Robotics (Madrid: IEEE).
• Parisi, G. I., Barros, P., Fu, D., Magg, S., Wu, H., Liu, X., & Wermter, S. (2018). A neurorobotic experiment for crossmodal conflict resolution in complex environments. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Madrid: IEEE), 2330-2335.
• Barros, P., Parisi, G. I., Fu, D., Liu, X., & Wermter, S. (2018). Expectation learning and crossmodal modulation with a deep adversarial network. In 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro: IEEE), 1-8.
• Fu, D., Qi, Y., Wu, H., & Liu, X. (2017). Integrative neurocognitive mechanism of empathy and counter-empathy (in Chinese). Chinese Science Bulletin. 62(22), 2500-2508. (co-first authorship)