Anahita Bagherzadhalimi
Papers
2
Total Citations
59
H-Index
2
About
Anahita Bagherzadhalimi is a researcher in human-robot interaction, with a focus on designing social robots that foster long-term engagement and positive behavioral change. Her work centers on the intersection of child-robot interaction, motivational psychology, and relational verbal behavior. Bagherzadhalimi’s most-cited paper, “A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction” (30 citations), explores how robots can encourage children to adopt and maintain healthy routines through sustained, motivating interactions. Her second highly cited study, “Young Users’ Perception of a Social Robot Displaying Familiarity and Eliciting Disclosure” (29 citations), investigates how robots can build trust and rapport by simulating familiarity, prompting users to open up and form deeper connections. This research underscores the importance of relational design in computational systems intended for long-term use. By demonstrating that verbal cues and familiarity can strengthen user-robot bonds, Bagherzadhalimi contributes foundational insights to the development of socially adept robots for education, therapy, and daily life. Her work is essential reading for researchers interested in designing empathetic, engaging, and effective social robots for young users.
Research Focus
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Top Papers
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