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A Game-Based Smart System Identifying Developmental Speech and Language Disorders in Child Communication: A Protocol Towards Digital Clinical Diagnostic Procedures

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New Realities, Mobile Systems and Applications (IMCL 2021)

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Abstract

Although a high prevalence of developmental speech/language disorders (3–17%) has been reported in the current literature still many children are underdiagnosed resulting to miss out on effective interventions that could be of more impact if administered early. The utilization of digital and mobile technologies in health and learning has evolved, presenting new opportunities for monitoring, decision making, classification and assessment procedures. This study focuses on reporting and justifying a protocol for the design and development of a digital approach intended to support and enhance screening and early detection procedures of developmental speech/language difficulties in child communication using smart computing models, sensors, and early diagnostic speech and language deficiencies indicators. The proposed solution will be designed and developed in phases. The design consists of (i) an interactive game-based digital approach for the child, (ii) an online environment to collect necessary data from parents, and clinicians (iii) the full functional specification of the game-based activities together with the overall architecture of the proposed innovative system. The proposed smart innovative system has the potential to support digital health care on children’s communication skills, suggesting a positive economic impact according to current digital trends.

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References

  1. American Psychiatric Association, American Psychiatric Association eds: Diagnostic and statistical manual of mental disorders: DSM-5. American Psychiatric Association, Washington, D.C (2013)

    Google Scholar 

  2. Harris, J.C.: New classification for neurodevelopmental disorders in DSM-5. Curr. Opin. Psychiatry 27, 95–97 (2014). https://doi.org/10.1097/YCO.0000000000000042

    Article  Google Scholar 

  3. Oyono, L.T., Pascoe, M., Singh, S.: The Prevalence of Speech and Language Disorders in French-Speaking Preschool Children From Yaoundé (Cameroon). https://pubs.asha.org/doi/10.1044/2018_JSLHR-L-16-0400

  4. Bishop, D.V.M., Snowling, M.J., Thompson, P.A., Greenhalgh, T., CATALISE consortium: CATALISE: a multinational and multidisciplinary Delphi consensus study. identifying language impairments in children. PLOS ONE. 11, e0158753 (2016). https://doi.org/10.1371/journal.pone.0158753

  5. Public Health England: NHS population screening explained. https://www.gov.uk/guidance/nhs-population-screening-explained

  6. Flensborg-Madsen, T., Mortensen, E.L.: associations of early developmental milestones with adult intelligence. Child Dev. 89, 638–648 (2018). https://doi.org/10.1111/cdev.12760

  7. American Speech-Language-Hearing Association: Child Speech and Language. https://www.asha.org/public/speech/disorders/childsandl/

  8. Bishop, D.V.M., Snowling, M.J., Thompson, P.A., Greenhalgh, T.: CATALISE-2 consortium: Phase 2 of CATALISE: a multinational and multidisciplinary Delphi consensus study of problems with language development: Terminology. J. Child Psychol. Psychiatry. 58, 1068–1080 (2017). https://doi.org/10.1111/jcpp.12721

  9. Asvestopoulou, T., et al.: Towards a robust and accurate screening tool for dyslexia with data augmentation using GANs. In: 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 775–782. IEEE, Athens, Greece (2019)

    Google Scholar 

  10. Ooi, C.Y., Ng, C.J., Sales, A.E., Lim, H.M.: Implementation strategies for web-based apps for screening: scoping review. J. Med. Internet Res. 22, e15591 (2020). https://doi.org/10.2196/15591

  11. Assessment and Evaluation of Speech-Language Disorders in Schools. https://www.asha.org/slp/assessment-and-evaluation-of-speech-language-disorders-in-schools/

  12. Archibald, L.: Developmental Language Disorder (DLD): A persistent language disorder of unknown aetiology (2018)

    Google Scholar 

  13. Toki, E.I., Zakopoulou, V., Pange, J.: Preschoolers’ learning disabilities assessment: new perspectives in computerized clinical tools. Sino-US Engl. Teach. 11, 401–410 (2014)

    Google Scholar 

  14. Liu, X., Toki, E.I., Pange, J.: The use of ICT in preschool education in Greece and China: A comparative study. Procedia - Soc. Behav. Sci. 112, 1167–1176 (2014). https://doi.org/10.1016/j.sbspro.2014.01.1281

    Article  Google Scholar 

  15. Anzulewicz, A., Sobota, K., Delafield-Butt, J.T.: Toward the autism motor signature: gesture patterns during smart tablet gameplay identify children with autism. Sci. Rep. 6, 1–13 (2016)

    Article  Google Scholar 

  16. Koumpouros, Y., Kafazis, T.: Wearables and mobile technologies in Autism spectrum disorder interventions: a systematic literature review. Res. Autism Spectr. Disord. 66, 101405 (2019)

    Google Scholar 

  17. Guðmundsdóttir, K., Wille, A.L., Savu, A.: Designing games for children with cerebral palsy. In: Schouten, B., Fedtke, S., Bekker, T., Schijven, M., Gekker, A. (eds.) Games for Health, pp. 99–116. Springer Fachmedien Wiesbaden, Wiesbaden (2013).https://doi.org/10.1007/978-3-658-02897-8_8

  18. Guadalupe, J.G.S., Alberto, O.Z.C.: Serious games: fundamental concepts and their importance in health care 13 (2011)

    Google Scholar 

  19. Lekka, A., Toki, E., Tsolakidis, C., Pange, J.: Literature review on educational games for learning statistics. In: 2017 IEEE Global Engineering Education Conference (EDUCON), pp. 844–847. IEEE, Athens, Greece (2017)

    Google Scholar 

  20. Mavridis, A., Tsiatsos, T., Terzidou, T.: Designing and deploying 3D collaborative games in education: Int. J. Game-Based Learn. 6, 43–57 (2016). https://doi.org/10.4018/IJGBL.2016010104

    Article  Google Scholar 

  21. Mavridis, A., Tsiatsos, T.: Game-based assessment: investigating the impact on test anxiety and exam performance: game-based assessment. J. Comput. Assist. Learn. 33, 137–150 (2017). https://doi.org/10.1111/jcal.12170

    Article  Google Scholar 

  22. Boletsis, C., McCallum, S.: The smartkuber case study: lessons learned from the development of an augmented reality serious game for cognitive screening. In: De Paolis, L.T., Bourdot, P., and Mongelli, A. (eds.) Augmented Reality, Virtual Reality, and Computer Graphics, pp. 457–472. Springer International Publishing, Cham (2017). https://doi.org/10.1007/978-3-319-60922-5_36

  23. Chaldogeridis, A., Politopoulos, N., Tsiatsos, T.: Designing exergames for working memory training using MaKey MaKey|SpringerLink. In: Interactive Mobile Communication Technologies and Learning. IMCL 2017. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75175-7_62

  24. Zakopoulou, V., et al.: Evaluating new approaches of intervention in reading difficulties in students with dyslexia: The ilearnRW software application. J. Educ. Pract. 8(27), 36–52 (2017)

    Google Scholar 

  25. Ahmed, B., Monroe, P., Hair, A., Tan, C.T., Gutierrez-Osuna, R., Ballard, K.J.: Speech-driven mobile games for speech therapy: user experiences and feasibility. Int. J. Speech Lang. Pathol. 20, 644–658 (2018). https://doi.org/10.1080/17549507.2018.1513562

    Article  Google Scholar 

  26. Shahin, M., Zafar, U., Ahmed, B.: The automatic detection of speech disorders in children: challenges, opportunities, and preliminary results. IEEE J. Sel. Top. Signal Process. 14, 400–412 (2020). https://doi.org/10.1109/JSTSP.2019.2959393

    Article  Google Scholar 

  27. Alcañiz Raya, M., et al.: Application of supervised machine learning for behavioral biomarkers of autism spectrum disorder based on electrodermal activity and virtual reality. Front. Hum. Neurosci. 14 (2020). https://doi.org/10.3389/fnhum.2020.00090

  28. Georgoulas, G., Georgopoulos, V.C., Stylios, C.D.: Speech sound classification and detection of articulation disorders with support vector machines and wavelets. In: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2199–2202 (2006)

    Google Scholar 

  29. Xu, D., Gilkerson, J., Richards, J., Yapanel, U., Gray, S.: Child vocalization composition as discriminant information for automatic autism detection. In: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2518–2522 (2009)

    Google Scholar 

  30. Georgopoulos, V.C.: Advanced time-frequency analysis and machine learning for pathological voice detection. In: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), pp. 1–5 (2020)

    Google Scholar 

  31. Pahwa, A., Aggarwal, G., Sharma, A.: A machine learning approach for identification amp; diagnosing features of Neurodevelopmental disorders using speech and spoken sentences. In: 2016 International Conference on Computing, Communication and Automation (ICCCA), pp. 377–382 (2016)

    Google Scholar 

  32. Özdemir, S., Kök, İ., Bülbül, I.A., Özdemir, S., Töret, Z.: An Eye-Tracking Data Based Decision Support System for Autism Risk Assessment (2018)

    Google Scholar 

  33. Yamamoto, H., Sato, A., Itakura, S.: Eye tracking in an everyday environment reveals the interpersonal distance that affords infant-parent gaze communication. Sci. Rep. 9, 1–9 (2019)

    Google Scholar 

  34. Bacon, E.C., Moore, A., Lee, Q., Barnes, C.C., Courchesne, E., Pierce, K.: Identifying prognostic markers in autism spectrum disorder using eye tracking: Autism (2019).https://doi.org/10.1177/1362361319878578

  35. Ueberham, M., Schmidt, F., Schlink, U.: Advanced smartphone-based sensing with open-source task automation. Sensors 18, 2456 (2018)

    Article  Google Scholar 

  36. Gradl, S., Wirth, M., Richer, R., Rohleder, N., Eskofier, B.M.: An overview of the feasibility of permanent, real-time, unobtrusive stress measurement with current wearables. In: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 360–365 (2019)

    Google Scholar 

  37. Byrom, B., McCarthy, M., Schueler, P., Muehlhausen, W.: Brain monitoring devices in neuroscience clinical research: the potential of remote monitoring using sensors, wearables, and mobile devices. Clin. Pharmacol. Ther. 104, 59–71 (2018). https://doi.org/10.1002/cpt.1077

    Article  Google Scholar 

  38. Ness, S.L., et al.: An observational study with the Janssen autism knowledge engine (JAKE®) in individuals with autism spectrum disorder. Front. Neurosci. 13 (2019). https://doi.org/10.3389/fnins.2019.00111

  39. Shaked, K.B.-Z., Shamir, A., Vakil, E.: An eye tracking study of digital text reading: a comparison between poor and typical readers. Read. Writ. 33, 1925–1944 (2020). https://doi.org/10.1007/s11145-020-10021-9

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Acknowledgements

We wish to thank the Region of Epirus for funding this project titled “Smart Computing Models, Sensors, and Early diagnostic speech and language deficiencies indicators in Child Communication”, acronym “SmartSpeech” with code ΗΠ1ΑΒ-28185, supported from European Regional Development Fund (ERDF).

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Authors and Affiliations

  1. Laboratory of New Approaches in Communication Disorders, Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, Ioannina, Greece

    Eugenia I. Toki, Victoria Zakopoulou, Giorgos Tatsis, Konstantinos Plachouras, Vassiliki Siafaka, Evangelia I. Kosma & Spyridon K. Chronopoulos

  2. Teleglobal, Ioannina, Greece

    Despina Elisabeth Filippidis

  3. DotSoft, Ioannina Branch, Ioannina, Greece

    Georgios Nikopoulos & Anastasios Manos

  4. Laboratory of New Technologies and Distance Learning, School of Education, University of Ioannina (UoI), Ioannina, Greece

    Jenny Pange

Authors
  1. Eugenia I. Toki
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  2. Victoria Zakopoulou
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  3. Giorgos Tatsis
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  4. Konstantinos Plachouras
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  8. Despina Elisabeth Filippidis
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Correspondence to Eugenia I. Toki .

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Editors and Affiliations

  1. CTI Global, Frankfurt, Germany

    Michael E. Auer

  2. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thrasyvoulos Tsiatsos

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Toki, E.I. et al. (2022). A Game-Based Smart System Identifying Developmental Speech and Language Disorders in Child Communication: A Protocol Towards Digital Clinical Diagnostic Procedures. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_50

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  • DOI: https://doi.org/10.1007/978-3-030-96296-8_50

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