Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot

Bibliographic Data

ID22190879
AuthorsNida Itrat Abbasi (0009-0004-9399-563X, University of Cambridge), Guy Laban (0000-0002-3796-1804, University of Cambridge), T Ford (0000-0001-5295-4904, University of Cambridge), Peter Blundell Jones (0000-0002-0387-880X, University of Cambridge), Hatice Gunes (0000-0003-2407-3012, University of Cambridge)
Year2025
Volume14
Issue3
Pages1-35
Publication date2025-06-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3722123
OpenAlexW4408405153
LanguageEN
References cited101

Socially Assistive Robots are studied in different child–robot interaction settings. However, logistical constraints limit accessibility, particularly affecting timely support for mental wellbeing. In this work, we have investigated whether online interactions with a robot can be used for the assessment of mental wellbeing in children. The children (N = 40, 20 girls and 20 boys; 8–13 years) interacted with the Nao robot (30–45 mins) over three sessions, at least a week apart. Audio-visual recordings were collected throughout the sessions that concluded with the children answering user perception questionnaires pertaining to their anxiety toward the robot, and the robot’s abilities. We divided the participants into three wellbeing clusters (low, med, and high tertiles) using their responses to the Short Moods and Feelings Questionnaire (SMFQ) and further analyzed how their wellbeing and their perceptions of the robot changed over the wellbeing tertiles, across sessions and across participants’ gender. Our primary findings suggest that (I) online-mediated interactions with robots can be effective in assessing children’s mental wellbeing over time, and (II) children’s overall perception of the robot either improved or remained consistent across time. Supplementary exploratory analyses have also revealed that the gender of the children affected their wellbeing assessments with interactions effectively distinguishing between varying levels of wellbeing for both boys and girls for the first session and only for boys during the second session. The analyses have also revealed that girls have a higher opinion of the robot as a confidante as compared with boys. Findings from this work affirm the potential of using online-mediated interactions with robots for the assessment of the mental wellbeing of children

Developmental psychology · Longitudinal study · Robot · Statistics · Applied Psychology · Child Development and Digital Technology · Computer Science · Digital Mental Health Interventions · Mathematics · Psychology · Social Robot Interaction and HRI · Artificial Intelligence

  • Regression to the mean

    Adrian Barnett, A G Barnett•International Journal of…•2004

  • The Impact of Mental Illness Stigma on Seeking and Participating in Mental Health Care

    Open Access•Patrick W Corrigan, Benjamin G Druss et al.•Psychological Science in the…•2014

  • Psychometric properties of the Revised Child Anxiety and Depression Scale in a clinical sample

    Open Access•Bruce F Chorpita, Catherine Moffitt et al.•Behaviour Research and Therapy•2005

  • Stigma starts early

    Open Access•Ashish Chandra, Cynthia S Minkovitz et al.•Journal of Adolescent Health•2006

  • Statistical power analyses using G*Power 3.1

    Open Access•Franz Faul, Edgar Erdfelder et al.•Behavior Research Methods•2009

  • False-Positive Psychology

    Open Access•Joseph P Simmons, L D Nelson et al.•Psychological Science•2011

  • Robots as Mental Well-being Coaches

    Open Access•Minja Axelsson, Micol Spitale et al.•ACM Transactions on Human-Robot…•2024

  • ‘No, Alexa, no!’

    Open Access•Nomisha Kurian•Learning Media and Technology•2025

  • AI's empathy gap

    Open Access•Nomisha Kurian•Contemporary Issues in Early…•2025

  • Masculinity and emotionality in education

    Rebecca Pearson, Rebecca M Pearson•Educational Review•2023

  • Analysing Children’s Responses from Multiple Modalities During Robot-Assisted Assessment of Mental Wellbeing

    Open Access•Nida Itrat Abbasi, Micol Spitale et al.•International Journal of Social…•2024

  • Use of a Social Robot in the Implementation of a Narrative Intervention for Young People with Cystic Fibrosis

    Open Access•Jeremy K Russell, Esben Strodl et al.•International Journal of Social…•2021

  • Building Long-Term Human–Robot Relationships

    Open Access•Guy Laban, Arvid Kappas et al.•International Journal of Social…•2024

  • The Psychology of Survey Response

    Open Access•Roger Tourangeau, Lance J Rips et al.•Psychology of Survey Response•2000

  • Multilevel Modeling of Longitudinal Growth and Change

    Herbert W Marsh, Kit‐Tai Hau•Multivariate Behavioral Research•2002

  • Social Robots for Supporting Post-traumatic Stress Disorder Diagnosis and Treatment

    Open Access•Guy Laban, Ziv Ben-Zion et al.•Frontiers in Psychiatry•2022

  • Effort-Reward Imbalance and Job Strain

    Open Access•Liza Jachens, Jonathan Houdmont•International Journal of…•2019

  • Internet use and electronic gaming by children and adolescents with emotional and behavioural problems in Australia – results from the second Child and Adolescent Survey of Mental Health and Wellbeing

    Open Access•Wavne Rikkers, David Lawrence et al.•BMC Public Health•2016

  • A Framework for Understanding Modifications to Measures for Diverse Populations

    Open Access•Anita L Stewart, Angela D Thrasher et al.•Journal of Aging and Health•2012

  • Adjusting for multiple testing when reporting research results

    Mikel Aickin, Howard Gensler•American Journal of Public Health•1996

  • The Child Factor in Child–Robot Interaction

    Open Access•Irina Rudenko, Andrey Rudenko et al.•International Journal of Social…•2024

  • Coping with Emotional Distress via Self-Disclosure to Robots

    Open Access•Guy Laban, Val Morrison et al.•International Journal of Social…•2025

  • Where to Next? The Impact of Covid-19 on Human-Robot Interaction Research

    Open Access•David Feil-Seifer, Kerstin S Haring et al.•ACM Transactions on Human-Robot…•2020

  • Social Robots for Long-Term Interaction

    Open Access•Iolanda Leite, Carlos Martinho et al.•International Journal of Social…•2013

  • Comparing Robot Embodiments in a Guided Discovery Learning Interaction with Children

    Open Access•James Kennedy, Paul Baxter et al.•International Journal of Social…•2014

  • Personality perception of robot avatar tele-operators

    Paul Bremner, Oya Çeliktutan et al.•2016 11th ACM/IEEE International…•2016

  • Great Expectations? Relation of Previous Experiences With Social Robots in Real Life or in the Media and Expectancies Based on Qualitative and Quantitative Assessment

    Open Access•Aike C Horstmann, Nicole C Krämer•Frontiers in Psychology•2019

  • The benefit of being physically present

    Open Access•Jamy Li•International Journal of…•2015

  • Interactive Robots as Social Partners and Peer Tutors for Children

    Takayuki Kanda, Takayuki Hirano et al.•Human-Computer Interaction•2004

  • Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots

    Open Access•Christoph Bartneck, Dana Kulić et al.•International Journal of Social…•2008

  • Parental recognition of preadolescent mental health problems

    Open Access•A P Villatoro, Melissa J Dupont-Reyes et al.•Social Science & Medicine•2018

  • Mediated communication matters during the Covid-19 pandemic

    Open Access•M Choi, Hyesun Choung•Journal of Social and Personal…•2021

  • Family Matters

    Open Access•Michael A Lindsey, Sean Joe et al.•Journal of Black Psychology•2010

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae