Evidence map›Paper›PMID 37514555›Full record

SynthesisSensors (Basel, Switzerland)2023

A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps Focusing on Usability and Software Design.

Xiongyi Liu, Wenbing Zhao, Quan Qi, Xiong Luo

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Innovative oral hygiene strategies for children with autism spectrum disorder: a gamified app-based intervention.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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.

Xiongyi LiuDepartment of Curriculum and Foundations, Cleveland State University, Cleveland, OH 44115, USA.
Wenbing ZhaoDepartment of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA.ORCID 0000-0002-3202-1127
Quan QiCollege of Information Science and Technology, Shihezi University, Shihezi 832003, China.ORCID 0000-0003-3088-6319
Xiong LuoSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-1929-8447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a systematic review on autism care, diagnosis, and intervention based on mobile apps running on smartphones and tablets. Here, the term "intervention" means a carefully planned set of activities with the objective of improving autism symptoms. We guide our review on related studies using five research questions. First, who benefits the most from these mobile apps? Second, what are the primary purposes of these mobile apps? Third, what mechanisms have been incorporated in these mobiles apps to improve usability? Fourth, what guidelines have been used in the design and implementation of these mobile apps? Fifth, what theories and frameworks have been used as the foundation for these mobile apps to ensure the intervention effectiveness? As can be seen from these research questions, we focus on the usability and software development of the mobile apps. Informed by the findings of these research questions, we propose a taxonomy for the mobile apps and their users. The mobile apps can be categorized into autism support apps, educational apps, teacher training apps, parental support apps, and data collection apps. The individuals with autism spectrum disorder (ASD) are the primary users of the first two categories of apps. Teachers of children with ASD are the primary users of the teacher training apps. Parents are the primary users of the parental support apps, while individuals with ASD are usually the primary users of the data collection apps and clinicians and autism researchers are the beneficiaries. Gamification, virtual reality, and autism-specific mechanisms have been used to improve the usability of the apps. User-centered design is the most popular approach for mobile app development. Augmentative and alternative communication, video modeling, and various behavior change practices have been used as the theoretical foundation for intervention efficacy.

Indexed as

Autism Spectrum DisorderAutistic DisorderMobile ApplicationsChildHumansSmartphoneSoftware Designaugmentative and alternative communicationautismbehavior change techniquesbehavior modeling trainingcognitive behavioral traininggamificationmobile appssmartphonesuser-centered designvideo modelingvirtual reality

Identifiers

PMID37514555
PMCPMC10384173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.