Evidence map›Paper›PMID 33767571›Full record

ArticleInternational journal of human-computer interaction2021

Child-Robot Interaction in a Musical Dance Game: An Exploratory Comparison Study between Typically Developing Children and Children with Autism.

Jaclyn A Barnes, Chung Hyuk Park, Ayanna Howard, Myounghoon Jeon

Open access · greenAbstract read
In one paragraph

Article in International journal of human-computer interaction, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors at 4 institutions in 1 country.

Jaclyn A BarnesDepartment of Computer Science, Michigan Technological University, Houghton, MI 49931 USA.
Chung Hyuk ParkDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.
Ayanna HowardSchool of Interactive Computing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30032 USA.
Myounghoon JeonDepartment of Computer Science, Michigan Technological University, Houghton, MI 49931 USA.
George Washington University · USGeorgia Institute of Technology · USMichigan Technological University · USVirginia Tech · US

Funding

NRI: Music-based Interactive Robotic Orchestration for Children with ASDR01HD082914 · NICHD · NEW YORK INST OF TECHNOLOGY · PI PARK, CHUNG HYUK · 2014 to 2016
$685k
NICHD NIH HHS R01 HD082914
6 · The paper itself

Abstract

Using robots in therapy for children on the autism spectrum is a promising avenue for child-robot interaction, and one that has garnered significant interest from the research community. After preliminary interviews with stakeholders and evaluating music selections, twelve typically developing (TD) children and three children with Autism Spectrum Disorder (ASD) participated in an experiment where they played the dance freeze game to four songs in partnership with either a NAO robot or a human partner. Overall, there were significant differences between TD children and children with ASD (e.g., mimicry, dance quality, & game play). There were mixed results for TD children, but they tended to show greater engagement with the researcher. However, objective results for children with ASD showed greater attention and engagement while dancing with the robot. There was little difference in game performance between partners or songs for either group. However, upbeat music did encourage greater movement than calm music. Using a robot in a musical dance game for children with ASD appears to show the advantages and potential just as in previous research efforts. Implications and future research are discussed with the results.

Identifiers

PMID33767571
PMCPMC7985886
OpenAlexW3084521173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.