Evidence map›Paper›PMID 36032661›Full record

ArticleInternational journal of social robotics2022

Exploring How People with Expressive Aphasia Interact with and Perceive a Social Robot.

Peggy van Minkelen, Emiel Krahmer, Paul Vogt

Open access · hybridAbstract read
In one paragraph

Article in International journal of social robotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 3 institutions in 1 country.

Peggy van MinkelenDepartment of Communication Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-1072-8911
Emiel KrahmerDepartment of Communication and Cognition, Tilburg University, Tilburg, The Netherlands.ORCID 0000-0002-6304-7549
Paul VogtSchool of Communication, Media and IT, Hanze University of Applied Sciences, Groningen, The Netherlands.ORCID 0000-0002-9446-4425
Hanze University of Applied Sciences · NLTilburg University · NLVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with aphasia need high-intensive language training to significantly improve their language skills, however practical barriers arise. Socially assistive robots have been proposed as a possibility to provide additional language training. However, it is yet unknown how people with aphasia perceive interacting with a social robot, and which factors influence this interaction. The aim of this study was to gain insight in how people with mild to moderate chronic expressive aphasia perceived interacting with the social robot NAO, and to explore what needs and requisites emerged. A total of 11 participants took part in a single online semi-structured interaction, which was analysed using observational analysis, thematic analysis, and post-interaction questionnaire. The findings show that participants overall felt positive towards using the social robot NAO. Moreover, they perceived NAO as enjoyable, useful, and to a lesser extent easy to use. This exploratory study provides a tentative direction for the intention of people with mild to moderate chronic expressive aphasia to use social robots. Design implications and directions for future research are proposed.

Indexed as

Chronic expressive aphasiaComplementary speech language therapyHuman–robot interactionIntention to usePerception of interactionSocially assistive robots

Identifiers

PMID36032661
PMCPMC9395781
OpenAlexW4293294488

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.