Abeer Alam
Papers
1
Total Citations
6
H-Index
1
About
Abeer Alam is a pioneering researcher in human-robot interaction, with a focus on how social robots can influence human behavior and attitudes. Their work investigates the persuasive power of robotic systems, particularly examining how physical attributes like robot size and number impact their ability to sway human decisions. Alam’s most cited paper, “Impact of Robot Size and Number on Human–Robot Persuasion” (2024, 6 citations), is a foundational study that reveals how these design variables shape trust and compliance in human-robot encounters. This research has immediate relevance for the design of digital assistants and social robots, which are increasingly integrated into daily life. By demonstrating that even subtle changes in robot morphology can alter persuasive outcomes, Alam’s contributions provide critical insights for engineers and designers aiming to create more effective, ethically-aware autonomous agents. Their work bridges robotics, psychology, and communication studies, offering a nuanced understanding of how non-verbal cues from machines can influence human decision-making. As social robots become more prevalent in homes, workplaces, and public spaces, Alam’s findings will be essential for developing systems that are both persuasive and respectful of human autonomy.
Research Focus
Key Achievements
Top Papers
- 1Impact of Robot Size and Number on Human–Robot Persuasion6 citations · 2024