Evidence map›Paper›PMID 31013673›Full record

ReviewSensors (Basel, Switzerland)2019

Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability.

Yasmin Elsahar, Sijung Hu, Kaddour Bouazza-Marouf, David Kerr, Annysa Mansor

Registry-linked trialAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04583332 (Efficacy of Using Augmentative Alternative Communication for Functional Communication in Group Activities), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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.

NCT04583332 nacompletednot on this mapstarted 2020, after this paper: background citation

Efficacy of Using Augmentative Alternative Communication for Functional Communication in Group Activities

TypeinterventionalSponsorRiphah International UniversityRan2020 to 2020Enrolled12ConditionsLearning Disabilities, Cerebral Palsy, Down SyndromeArmsRhymes, Individual Items in Rhymes, Objects
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
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  11. Language and Ageing in Adults With Down Syndrome: An Analysis of Receptive and Expressive Language Measures.Journal of applied research in intellectual disabilities : JARID · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Sanfilippo syndrome: consensus guidelines for clinical care.Orphanet journal of rare diseases · 2022
    Review
  20. Natural Language Processing: from Bedside to Everywhere.Yearbook of medical informatics · 2022
    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

5 authors.

Yasmin ElsaharWolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK. Y.Elsahar@lboro.ac.uk.ORCID 0000-0003-4809-5953
Sijung HuWolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK. S.Hu@lboro.ac.uk.ORCID 0000-0002-9637-4730
Kaddour Bouazza-MaroufWolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK. K.Bouazza-marouf@lboro.ac.uk.
David KerrWolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK. D.Kerr@lboro.ac.uk.
Annysa MansorWolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK. annysa.mansor@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain-computer interfaces (BCI). The listed AAC sensing modalities are compared in terms of ease of access, affordability, complexity, portability, and typical conversational speeds. A revelation of the associated AAC signal processing, encoding, and retrieval highlights the roles of machine learning (ML) and deep learning (DL) in the development of intelligent AAC solutions. The demands and the affordability of most systems hinder the scale of usage of high-tech AAC. Further research is indeed needed for the development of intelligent AAC applications reducing the associated costs and enhancing the portability of the solutions for a real user's environment. The consolidation of natural language processing with current solutions also needs to be further explored for the amelioration of the conversational speeds. The recommendations for prospective advances in coming high-tech AAC are addressed in terms of developments to support mobile health communicative applications.

Indexed as

TelemedicineBrain-Computer InterfacesCommunication Devices for People with DisabilitiesHumansSelf-Help DevicesSpeechSpeech Disordersassistive technologiesaugmentative and alternative communicationmachine learningmobile healthsensing modalitiessignal processingspeech disabilityvoice communication

Identifiers

PMID31013673
PMCPMC6515262

What OpenQuestion holds

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Registered trials

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.