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Measuring mental wellbeing of children via human-robot interaction : Challenges and opportunities

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cam.depositDate2022-11-08
cam.issuedOnline2023-03-24
cam.orpheus.counter20
cam.orpheus.successWed Jul 05 16:16:05 BST 2023 - This item is covered by RRS / SAP with an embargo. The item is now published and embargo has been lifted.*
dc.contributor.authorAbbasi, NI
dc.contributor.authorSpitale, M
dc.contributor.authorJones, PB
dc.contributor.authorGunes, H
dc.contributor.orcidJones, PB [0000-0002-0387-880X]
dc.date.accessioned2022-11-10T00:30:19Z
dc.date.available2022-11-10T00:30:19Z
dc.date.issued2022
dc.date.updated2022-11-08T13:58:17Z
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>During the last decade, children have shown an increasing need for mental wellbeing interventions due to their anxiety and depression issues, which the COVID-19 pandemic has exacerbated. Socially Assistive Robotics have been shown to have a great potential to support children with mental wellbeing-related issues. However, understanding how robots can be used to aid the measurement of these issues is still an open challenge. This paper presents a narrative review of child-robot interaction (cHRI) papers (IEEE ROMAN proceedings from 2016–2021 and keyword-based article search using Google Scholar) to investigate the open challenges and potential knowledge gaps in the evaluation of mental wellbeing or the assessment of factors affecting mental wellbeing in children. We exploited the SPIDER framework to search for the key elements for the inclusion of relevant studies. Findings from this work (10 screened papers in total) investigate the challenges in cHRI studies about mental wellbeing by categorising the current research in terms of robot-related factors (robot autonomy and type of robot), protocol-related factors (experiment purpose, tasks, participants and user sensing) and data related factors (analysis and findings). The main contribution of this work is to highlight the potential opportunities for cHRI researchers to carry out measurements concerning children’s mental wellbeing.</jats:p>
dc.description.sponsorshipN. I. Abbasi is supported by the W.D. Armstrong Trust PhD Studentship and the Cambridge Trusts. M. Spitale and H. Gunes are supported by the EPSRC project ARoEQ under grant ref. EP/R030782/1. All research at the Department of Psychiatry in the University of Cambridge is supported by the NIHR Applied Research Collaboration East of England (P. Jones).
dc.identifier.doi10.17863/CAM.90485
dc.identifier.eissn1572-0381
dc.identifier.issn1572-0373
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/343074
dc.language.isoeng
dc.publisherJohn Benjamins Publishing Company
dc.publisher.departmentDepartment of Computer Science and Technology
dc.publisher.urlhttp://dx.doi.org/10.1075/is.21027.abb
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectchildren
dc.subjectrobots
dc.subjectmental wellbeing assessment
dc.titleMeasuring mental wellbeing of children via human-robot interaction : Challenges and opportunities
dc.typeArticle
dcterms.dateAccepted2022-08-31
prism.publicationNameInteraction Studies
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R030782/1)
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
pubs.licence-identifierapollo-deposit-licence-2-1
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1075/is.21027.abb

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