Evidence map›Paper›PMID 35371383›Full record

ArticleIEEE transactions on learning technologies2021

Design of an Intelligent Agent to Measure Collaboration and Verbal-Communication Skills of Children with Autism Spectrum Disorder in Collaborative Puzzle Games.

Lian Zhang, Ashwaq Z Amat, Huan Zhao, Amy Swanson, Amy Weitlauf, Zachary Warren, Nilanjan Sarkar

Abstract read
In one paragraph

Article in IEEE transactions on learning technologies, 2021. 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
–field-weighted citation impact
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.

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

7 authors.

Lian ZhangDepartment of Electrical Engineering and Computer Science and Robotics and Autonomous Systems Laboratory, Vanderbilt University, Nashville, TN, USA.
Ashwaq Z AmatDepartment of Electrical Engineering and Computer Science and Robotics and Autonomous Systems Laboratory, Vanderbilt University, Nashville, TN, USA.
Huan ZhaoDepartment of Electrical Engineering and Computer Science and Robotics and Autonomous Systems Laboratory, Vanderbilt University, Nashville, TN, USA.
Amy SwansonVanderbilt Kennedy Center, Treatment and Research Institute for Autism Spectrum Disorders, Nashville, TN, USA.
Amy WeitlaufDepartment of Pediatrics, Vanderbilt University Medical Center, Treatment and Research Institute for Autism Spectrum Disorders, Nashville, TN, USA.
Zachary WarrenDepartment of Pediatrics, Vanderbilt University Medical Center, Treatment and Research Institute for Autism Spectrum Disorders, Nashville, TN, USA.
Nilanjan SarkarDepartment of Electrical Engineering and Computer Science, Department of Mechanical Engineering and Robotics and Autonomous Systems Laboratory, Vanderbilt University, Olin Hall Room 101, 2400 Highland Avenue, Nashville, TN, USA.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Adaptive Response Technology for Autism Spectrum Disorders InterventionR01MH091102 · NIMH · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN · 2011 to 2015
$1.8M
Enhancing and measuring social functioning of children with ASD through virtual intelligent systemsR21MH111548 · NIMH · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN · 2017 to 2018
$411k
NICHD NIH HHS P50 HD103537NIMH NIH HHS R01 MH091102NIMH NIH HHS R21 MH111548
6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by core deficits in social interaction and communication. Collaborative puzzle games are interactive activities that can be played to foster the collaboration and verbal-communication skills of children with ASD. In this paper, we have designed an intelligent agent that can play collaborative puzzle games with children and verbally communicate with them as if it is another human player. Furthermore, this intelligent agent is also able to automatically measure children's task-performance and verbal-communication behaviors throughout game play. Two preliminary studies were conducted with children with ASD to evaluate the feasibility and performance of the intelligent agent. Results of Study I demonstrated the intelligent agent's ability to play games and communicate with children within the game-playing domain. Results of Study II indicated its potential to measure the communication and collaboration skills of human users.

Indexed as

Adaptive and intelligent educational systemsautism spectrum disordercollaborative learninglearning environments

Identifiers

PMID35371383
PMCPMC8966619

What OpenQuestion holds

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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.