Evidence map›Paper›PMID 36274914›Full record

ReviewFrontiers in robotics and AI2022

Social/dialogical roles of social robots in supporting children's learning of language and literacy-A review and analysis of innovative roles.

Katharina J Rohlfing, Nicole Altvater-Mackensen, Nathan Caruana, Rianne van den Berghe, Barbara Bruno, Nils F Tolksdorf, Adriana Hanulíková

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

7 authors.

Katharina J RohlfingDevelopmental Psycholinguistics, Faculty of Arts and Humanities, Paderborn University, Paderborn, Germany.
Nicole Altvater-MackensenDevelopmental Psychology, Psychologisches Institut, Johannes-Gutenberg-Universität Mainz, English Linguistics, University of Mannheim, Mainz, Germany.
Nathan CaruanaSchool of Psychological Science, Macquarie University Centre for Reading, Macquarie University, Sydney, NSW, Australia.
Rianne van den BergheUrban Care & Education, Windesheim University of Applied Sciences, Almere, Netherlands.
Barbara BrunoCHILI Lab, EPFL, Lausanne, Switzerland.
Nils F TolksdorfDevelopmental Psycholinguistics, Faculty of Arts and Humanities, Paderborn University, Paderborn, Germany.
Adriana HanulíkováLanguage and Cognition, Deutsches Seminar, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the many purposes for which social robots are designed is education, and there have been many attempts to systematize their potential in this field. What these attempts have in common is the recognition that learning can be supported in a variety of ways because a learner can be engaged in different activities that foster learning. Up to now, three roles have been proposed when designing these activities for robots: as a teacher or tutor, a learning peer, or a novice. Current research proposes that deciding in favor of one role over another depends on the content or preferred pedagogical form. However, the design of activities changes not only the content of learning, but also the nature of a human-robot social relationship. This is particularly important in language acquisition, which has been recognized as a social endeavor. The following review aims to specify the differences in human-robot social relationships when children learn language through interacting with a social robot. After proposing categories for comparing these different relationships, we review established and more specific, innovative roles that a robot can play in language-learning scenarios. This follows Mead's (1946) theoretical approach proposing that social roles are performed in interactive acts. These acts are crucial for learning, because not only can they shape the social environment of learning but also engage the learner to different degrees. We specify the degree of engagement by referring to Chi's (2009) progression of learning activities that range from active, constructive, toward interactive with the latter fostering deeper learning. Taken together, this approach enables us to compare and evaluate different human-robot social relationships that arise when applying a robot in a particular social role.

Indexed as

child–robot interactiondialogical roleshuman–robot social relationshiplanguage learningliteracysocial roles

Identifiers

PMID36274914
PMCPMC9581183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.