{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T14:15:20Z","timestamp":1787926520702,"version":"build-2784847793"},"reference-count":62,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004484","name":"Tehran University of Medical Sciences and Health Services","doi-asserted-by":"publisher","award":["54958"],"award-info":[{"award-number":["54958"]}],"id":[{"id":"10.13039\/501100004484","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2022,4,25]]},"abstract":"<jats:p>Introduction. Treatment of speech disorders during childhood is essential. Many technologies can help speech and language pathologists (SLPs) to practice speech skills, one of which is digital games. This study aimed to systematically investigate the games developed to treat speech disorders and their challenges in children. Methods. A comprehensive search was conducted in four databases, including Medline (through PubMed), Scopus, Web of Science, and IEEE Xplore, to retrieve English articles published by July 14, 2021. The articles in which a digital game was developed to treat speech disorders in children were included in the study. Then, the features of the designed games and their challenges were extracted from the studies. Results. After reviewing the full texts of 69 articles and assessing them in terms of inclusion and exclusion criteria, 27 articles were included in the systematic review. In these articles, 59.25% of the games had been developed in English language and children with hearing impairments had received much attention from researchers compared to other patients. Also, the Mel-Frequency Cepstral Coefficients (MFCC) algorithm and the PocketSphinx speech recognition engine had been used more than any other speech recognition algorithm and tool. In terms of the games, 48.15% had been designed in a way that children could practice with the help of their parents. The evaluation of games showed a positive effect on children\u2019s satisfaction, motivation, and attention during speech therapy exercises. The biggest barriers and challenges mentioned in the studies included sense of frustration, low self-esteem after several failures in playing games, environmental noise, contradiction between games levels and the target group\u2019s needs, and problems related to speech recognition. Conclusion. The results of this study showed that the games positively affect children\u2019s motivation to continue speech therapy, and they can also be used as the SLPs\u2019 aids. Before designing these tools, the obstacles and challenges should be considered, and also, the solutions should be suggested.<\/jats:p>","DOI":"10.1155\/2022\/4814945","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T17:50:08Z","timestamp":1650909008000},"page":"1-20","source":"Crossref","is-referenced-by-count":45,"title":["Application of Digital Games for Speech Therapy in Children: A Systematic Review of Features and Challenges"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1315-794X","authenticated-orcid":true,"given":"Soheila","family":"Saeedi","sequence":"first","affiliation":[{"name":"Department of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3842-3554","authenticated-orcid":true,"given":"Hamid","family":"Bouraghi","sequence":"additional","affiliation":[{"name":"Department of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3906-0572","authenticated-orcid":true,"given":"Mohammad-Sadegh","family":"Seifpanahi","sequence":"additional","affiliation":[{"name":"Department of Speech and Language Pathology, Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2400-209X","authenticated-orcid":true,"given":"Marjan","family":"Ghazisaeedi","sequence":"additional","affiliation":[{"name":"Department of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1111\/jir.12794"},{"issue":"6","key":"2","first-page":"1","article-title":"Feature extraction methods LPC, PLP and MFCC in speech recognition","volume":"1","author":"N. 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