Jonathan Del‐Monte
Papers
1
Total Citations
3
H-Index
1
About
Jonathan Del‐Monte is a researcher at the intersection of affective computing, human-robot interaction, and social cognition. His work investigates how individuals perceive and respond to emotional expressions across different mediums, with a particular focus on virtual, robotic, and human faces. Del‐Monte’s most cited study, "Emotional Valence Recognition on Virtual, Robotic, and Human Faces: a Comparative Study" (2020), provides foundational insights into the cognitive processing of emotional cues from artificial and biological agents. This work has garnered 3 citations, establishing a niche but growing impact in the field. By comparing recognition accuracy and neural responses, Del‐Monte contributes to the design of more socially intuitive robots and virtual characters, with implications for assistive technology and human-computer interaction. His research is notable for bridging psychology and engineering, offering empirical evidence that informs both theoretical models of emotion perception and practical applications in robotics. Del‐Monte’s ongoing contributions promise to deepen our understanding of how humans engage with emotionally expressive machines, making him a promising voice in the evolving dialogue between humans and technology.
Research Focus
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Top Papers
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