Papers
13
Total Citations
174
H-Index
8
About
Raul Benites Paradeda investigates the intersection of social robotics, human-robot interaction, and persuasive technology, with a focus on how robots can influence human behavior through personality-driven strategies. His major contributions lie in demonstrating that robots can effectively adapt their communication styles—such as assertiveness and small talk—to build trust and persuade users, particularly in interactive storytelling and educational contexts. His work has shown that children perceive robotic peers as learning entities, enhancing engagement in handwriting tasks through the learning-by-teaching method. With over 165 citations across his most-cited papers, his research on trust formation (46 citations) and robotic persuasion based on personality traits (15 citations) has been foundational. Notably, his studies on assertiveness in robotic advisors and non-player characters reveal how tailored social cues can improve decision-making and user compliance. Paradeda’s work bridges psychology and robotics, offering practical insights for designing socially intelligent agents that foster meaningful human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1How Facial Expressions and Small Talk May Influence Trust in a Robot46 citations · 2016
- 2Do Children Perceive Whether a Robotic Peer is Learning or Not?30 citations · 2018
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- 4Persuasion Based on Personality Traits15 citations · 2017
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- 6Do You Trust Me? Investigating the Formation of Trust in Social Robots12 citations · 2019
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- 9Communicating Assertiveness in Robotic Storytellers7 citations · 2018
- 10Would You Follow the Suggestions of a Storyteller Robot?7 citations · 2018