Elahe Bagheri
Papers
9
Total Citations
131
H-Index
5
About
Elahe Bagheri is a pioneering researcher at the intersection of social robotics, human-robot interaction (HRI), and affective computing. Her work centers on endowing robots with cognitive empathy—the ability to recognize, understand, and appropriately respond to human emotional states. Bagheri’s most influential contribution is the development of the Automatic Cognitive Empathy Model (ACEM), which enables robots to dynamically adapt their behavior based on users’ facial emotion expressions, a framework that has garnered 32 citations. Her reinforcement learning-based approach to cognitive empathy, published in 2020 with 44 citations, represents a significant leap forward in creating socially intelligent robots capable of natural, human-like interactions. Bagheri has also conducted novel pairwise robot comparison studies to investigate how robot personality traits—introversion versus extroversion—affect user perception and preference, particularly among children. Her work on transparent interaction-based learning for human-robot collaboration (2022) addresses the critical challenge of enabling non-expert users to program collaborative robots. With a growing citation record exceeding 130 total citations, Bagheri’s research is shaping the future of socially aware robots that can serve as empathetic partners in education, healthcare, and everyday environments.
Research Focus
Key Achievements
Top Papers
- 1A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots44 citations · 2020
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- 4Transparent Interaction Based Learning for Human-Robot Collaboration11 citations · 2022
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- 7Toward understanding the effects of socially aware robot behavior2 citations · 2022
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