Lara Chehayeb
Papers
2
Total Citations
9
H-Index
2
About
Lara Chehayeb is a pioneering researcher at the intersection of human-robot interaction and affective computing, with a focus on socially interactive industrial robots. Her work centers on developing emotionally intelligent robotic systems that can co-regulate human emotional states during collaborative tasks. Chehayeb’s most notable contribution is the introduction of the “covatar” concept—a cobot integrated with an avatar—designed to support Flow experiences through emotional co-regulation in industrial assembly settings. Her 2025 paper on this topic has already garnered 6 citations, signaling growing interest in her innovative approach to human-robot collaboration. In her foundational 2023 work, Chehayeb mapped pleasure, arousal, and dominance (PAD) social signals from human facial expressions to drive theory-based interventions for robot-avatar agents in workspaces. This research, with 3 citations, highlights the challenges of using noisy real-world data for affective computing. Chehayeb’s work is particularly notable for bridging psychological models of emotion with practical robotics applications, offering a pathway toward more intuitive and emotionally supportive industrial robots. Her research promises to transform manufacturing environments by making human-robot interaction more natural, engaging, and productive.
Research Focus
Key Achievements
Top Papers
- 1
- 2