Hurry Up, We Need to Find the Key! How Regulatory Focus Design Affects Children’s Trust in a Social Robot

Natalia Calvo-Barajas (Corresponding author), Maha Elgarf, G. Perugia, Ana Paiva, Christopher Edward Peters, Ginevra Castellano

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

2 Citaten (Scopus)

Samenvatting

In educational scenarios involving social robots, understanding the way robot behaviors affect children’s motivation to achieve their learning goals is of vital importance. It is crucial for the formation of a trust relationship between the child and the robot so that the robot can effectively fulfill its role as a learning companion. In this study, we investigate the effect of a regulatory focus design scenario on the way children interact with a social robot. Regulatory focus theory is a type of self-regulation that involves specific strategies in pursuit of goals. It provides insights into how a person achieves a particular goal, either through a strategy focused on “promotion” that aims to achieve positive outcomes or through one focused on “prevention” that aims to avoid negative outcomes. In a user study, 69 children (7–9 years old) played a regulatory focus design goal-oriented collaborative game with the EMYS robot. We assessed children’s perception of likability and competence and their trust in the robot, as well as their willingness to follow the robot’s suggestions when pursuing a goal. Results showed that children perceived the prevention-focused robot as being more likable than the promotion-focused robot. We observed that a regulatory focus design did not directly affect trust. However, the perception of likability and competence was positively correlated with children’s trust but negatively correlated with children’s acceptance of the robot’s suggestions.
Originele taal-2Engels
Artikelnummer652035
Aantal pagina's13
TijdschriftFrontiers in Robotics and AI
Volume8
DOI's
StatusGepubliceerd - 8 jul. 2021
Extern gepubliceerdJa

Financiering

This work has been funded by the European Commission Horizon 2020 Research and Innovation Program under Grant Agreement no. 765955. The authors are solely responsible for the content of this publication.

FinanciersFinanciernummer
European Union’s Horizon Europe research and innovation programme
Horizon 2020 Framework Programme765955

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