About

Mojgan Hashemian is a researcher specializing in human-robot interaction (HRI), with a particular focus on trust formation, social robotics, and robot persuasion. Her work sits at the fascinating intersection of social psychology and robotics, exploring how robots can effectively engage with and influence human behavior in socially meaningful ways. Hashemian's most influential contribution examines how facial expressions and small talk shape trust in robots, a 2016 paper that has garnered 46 citations and helped establish foundational principles for designing more relatable social robots. Building on this, she has pursued an ambitious research agenda investigating persuasive robotics, drawing on social power theories to understand how robots might leverage reward, coercion, and expertise to influence human decision-making. Her 2019 series of papers on social power in HRI collectively demonstrates the breadth of this inquiry, accumulating over 30 citations combined. More recently, Hashemian has conducted controlled user studies examining specific persuasion strategies, including reward and punishment dynamics, testing these approaches with real participants facing genuine choices. Her earlier work on mood detection through emotion induction further reflects her longstanding interest in making robots emotionally intelligent. Across her career, Hashemian has contributed meaningfully to the growing field of socially aware robotics.

Research Focus

Key Achievements

5
H-Index
9
Papers
111
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
How Facial Expressions and Small Talk May Influence Trust in a Robot
46 citations · 2016
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, University of Lisbon, University of Tehran

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago