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Exploring Children’s Strategies in Response to Robot’s Advice During a Group Task with iCub and Nao

Contributo in Atti di convegno
Data di Pubblicazione:
2025
Abstract:
This study investigates children’s trust in two humanoid robots, Nao and iCub, through a cooperative game designed to elicit spontaneous behaviors and group dynamics. We investigate whether participants change their choices after hearing advice from a robot, considering rounds where the advice is correct or incorrect, with the robot apologizing for its mistakes. Results reveal that, in most cases, participants prefer not to change their moves after the robot’s advice. Additionally, after the robots made mistakes, participants are less likely to actively follow their advice and more likely to reject it. No significant differences in strategies among the iCub and Nao samples are evidenced. Furthermore, we examine the influence of group dynamics, identifying “Proactive Players” who consistently initiated moves. A significant association between the strategies of this player and their teammates is found, suggesting potential influence.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Group Interaction; Robots in Education; Technology at School; Trust Repair
Elenco autori:
Pusceddu G.; Sangineto M.; Cocchella F.; Bogliolo M.; Belgiovine G.; Lastrico L.; Casadio M.; Rea F.; Gena C.; Sciutti A.
Autori di Ateneo:
GENA Cristina
Link alla scheda completa:
https://iris.unito.it/handle/2318/2077279
Titolo del libro:
Lecture Notes in Computer Science
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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