Cited by 22Youth Substance Use and School AttendanceSocial Robot Interaction and HRITelemedicine and Telehealth Implementation

Telepresence robots to reduce school absenteeism among children with cancer, neuromuscular diseases, or anxiety—the expectations of children and teachers: A qualitative study in Denmark

Open access
Weibel, Mette, Skoubo, Sofie, Handberg, Charlotte, Bertel, Lykke Brogaard, Steinrud, Nonni Camilla, Schmiegelow, Kjeld, Hallström, Inger Kristensson, Larsen, Hanne Bækgaard·2023·Computers in Human Behavior Reports

Abstract

This study explores expectations for telepresence robots as a tool to reduce absence in education as school absence negatively influences children's academic advancement and psychosocial wellbeing. A qualitative semi-structured interview study. Using convenience sampling, we interviewed 11 children aged 8–17 years with cancer (n = 4), neuromuscular diseases (n = 3) or anxiety (n = 4) who had a high level of school absence (more than 15 days’ absence in a school year), and who had recently encountered a telepresence robot; and eight of their teachers. A thematical analysis and a deductive approach based on the theory of Technological frames were used. The children's and teachers' expectations of how telepresence robots could support them in reducing their school absence were identified and structured in three categories and five main themes: 1) Nature of technology: a) Learning, b) Sociality, c) Additional supportive resources; 2) Technology strategy: a) Flexible school day; 3) Technology in use: a) New workflows. This study indicates that implementation requires additional resources from teachers. Children with disease-related school absence and their teachers expect telepresence robots to reconnect the children socially, by maintaining or creating new friendships, and academically, by fostering inclusion and reducing absence.

Integrity signals

Registry

Crossref · 10.1016/j.chbr.2023.100280

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Weibel, M., Skoubo, S., Handberg, C., Bertel, L. B., Steinrud, N. C., Schmiegelow, K., Hallström, I. K., & Larsen, H. B.
Affiliations
  • University of Copenhagen (DK)
  • Aarhus University (DK)
  • Aalborg Centre for Problem Based Learning in Engineering Science and Sustainability (DK)
  • Rigshospitalet (DK)
  • Lund University (SE)
Corresponding author
Larsen, Hanne Bækgaard
Venue
Computers in Human Behavior Reports
Publisher
Elsevier BV
Published
2023-05
Volume
10
Pages
100280
ISSN
2451-9588 (ISSN-L)
OpenAlex
W4362580964
Cited by
22
References
3
Citations by year
2026: 5 · 2025: 6 · 2024: 9 · 2023: 2
FWCI
16.27
Type
journal article
Language
en
Open access
Locations
  • Computers in Human Behavior Reports (publishedVersion, cc-by-nc-nd)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
  • VBN Forskningsportal (Aalborg Universitet) (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
  • Lunds Universitet
  • Danmarks Tekniske Universitet
  • European Regional Development Fund
  • Dagmar Marshalls Fond (5,000,020)
  • Region Skåne
  • Børnecancerfonden (R-260-A15147-19-S3)
  • Kræftens Bekæmpelse (R-257-A14720)
Topics
  • Social Sciences › Education › Youth Substance Use and School Attendance
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
telepresence robots, school absenteeism, childhood cancer, neuromuscular disorders, childhood anxiety, children's expectations, teacher expectations, technological frames, social inclusion, educational technology implementation, childhood friendship

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review