Seyedeh Maryam Hosseini

Michigan Technological University

Papers

2

Total Citations

19

H-Index

2

About

Seyedeh Maryam Hosseini investigates the psychological and design factors that make social robots accepted as companions, blending human-robot interaction (HRI) with perceptual psychology. Her work demonstrates that a robot’s physical appearance and behavior—its “look and feel”—are equally critical for fostering companionship. In her most-cited paper (12 citations), she argues that embodiment creates a social environment, and that understanding these essential factors is key to designing robots people will invite into their personal spaces. A second influential study (7 citations) reveals a striking finding: mere exposure to a robot’s appearance can leave impressions as strong as those formed through physical interaction, suggesting that first visual impressions may be as powerful as real-world experience. By showing that “love at first sight” can occur with robots, Hosseini challenges assumptions about the necessity of direct interaction. Her research bridges design and social cognition, offering practical insights for engineers and designers. With a focus on making robots more accessible and appealing, she contributes to a future where robotic companionship feels natural and intuitive.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Both “look and feel” matter: Essential factors for robotic companionship
12 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Michigan Technological University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago