Evidence map›Paper›PMID 34307468›Full record

ArticleFrontiers in robotics and AI2021

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

Natalia Calvo-Barajas, Maha Elgarf, Giulia Perugia, Ana Paiva, Christopher Peters, Ginevra Castellano

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Natalia Calvo-BarajasUppsala Social Robotics Lab, Department of Information Technology, Uppsala University, Uppsala, Sweden.
Maha ElgarfEmbodied Social Agents Lab (ESAL), School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Giulia PerugiaUppsala Social Robotics Lab, Department of Information Technology, Uppsala University, Uppsala, Sweden.
Ana PaivaDepartment of Computer Science and Engineering, Instituto Superior Técnico (IST), University of Lisbon, Lisbon, Portugal.
Christopher PetersEmbodied Social Agents Lab (ESAL), School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Ginevra CastellanoUppsala Social Robotics Lab, Department of Information Technology, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

affectivechild–robot interactionemotional robotgoal orientationregulatory focustrust

Identifiers

PMID34307468
PMCPMC8297465

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.