Evidence map›Paper›PMID 40236282›Full record

ArticleFrontiers in robotics and AI2025

Who will you imitate? Studying reciprocal influence in children-robot groups during an imitation game.

Giulia Pusceddu, Francesca Cocchella, Michela Bogliolo, Giulia Belgiovine, Linda Lastrico, Francesco Rea, Maura Casadio, Alessandra Sciutti

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Giulia PuscedduCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Francesca CocchellaCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Michela BoglioloCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Giulia BelgiovineCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Linda LastricoCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Francesco ReaCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.
Maura CasadioDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.
Alessandra SciuttiCOgNiTive Architecture for Collaborative Technologies, Italian Institute of Technology, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to advance the understanding of group dynamics in robot-child interactions, focusing on whether, during a motor-imitation task led by a Nao robot, children might be influenced in their action executions by other group members - human or robotic. After testing eighteen groups of four children and teenagers, our findings indicate that participants tend to disregard the robot when it performs atypical gestures, preferring instead to imitate the actions of a human peer. Moreover, we found evidence that, in this scenario, assigning a leadership role to the robot does not, by itself, guarantee compliance from human group members; broader group dynamics must also be taken into account. Further results show that participants are significantly more likely to imitate the robot's action when the "proactive" group members (i.e., those who initiate actions first) conform to Nao, compared to when they do not. Previous studies suggest that the mutual influence of group members can facilitate interaction with a robotic agent; however, our findings show that the presence of proactive members could also undermine the group's conformity to the robot. Additionally, these findings highlight the importance of personalizing robots to better integrate into specific group dynamics, enhancing their ability to influence different groups effectively.

Indexed as

child-robot interactiongroup dynamicsgroup-robot interactionimitationrobot influencerobots at school

Identifiers

PMID40236282
PMCPMC11996666

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.