Martin Jc
Papers
1
Total Citations
21
H-Index
1
About
Martin Jc’s research sits at the compelling intersection of human-robot interaction and affective computing, exploring how robots can communicate emotion through touch and expression. In his most-cited work, “Affective handshake with a humanoid robot” (2015, 21 citations), he conducted a pioneering experiment demonstrating how participants integrate a robot’s facial expressions and haptic feedback—specifically through handshake behaviors—to perceive emotional states. This study revealed that people naturally combine these multimodal cues, much like in human-human interaction, offering critical insights for designing more intuitive and emotionally resonant social robots. While his citation count reflects a focused, emerging impact, Jc’s contribution is notable for its methodological rigor and its early emphasis on tactile communication in robotics—a domain increasingly vital for applications in therapy, education, and companionship. His work challenges designers to move beyond visual-only interfaces, highlighting the nuanced role of physical interaction in building trust and rapport between humans and machines. For students and researchers, Jc’s research serves as a foundational example of how subtle, embodied cues can shape our perception of robotic agents.
Research Focus
Key Achievements
Top Papers
- 1