17 citations · 21 across the 4 of their papers we have counts for
4 papers
A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution
Di Fu, Fares Abawi, Hugo Carneiro +5
To enhance human-robot social interaction, it is essential for robots to process multiple social cues in a complex real-world environment. However, incongruency of input informatio…
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
Siqi Cao, Di Fu, Xu Yang +3
Sensory and emotional experiences such as pain and empathy are essential for mental and physical health. Cognitive neuroscience has been working on revealing mechanisms underlying…
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
Di Fu, Pablo Barros, German I. Parisi +4
The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perc…
Expectation Learning for Adaptive Crossmodal Stimuli Association
Pablo Barros, German I. Parisi, Di Fu +2
The human brain is able to learn, generalize, and predict crossmodal stimuli. Learning by expectation fine-tunes crossmodal processing at different levels, thus enhancing our power…