The Table to Tablet (T2T) Speech and Language Therapy Software Development Roadmap

Luis Mt Jesus, Joaquim Santos, Joana Martinez, Luis Mt Jesus, Joaquim Santos, Joana Martinez

Abstract

Background: Few studies have analyzed gains in using computers in speech and language therapy interventions for children with speech and/or language disorders when compared to a control group, but virtual tutors and computer-based visual feedback have been gaining interest in the literature. Previous systematic reviews mainly focused on development technological details of computer-based speech training systems or the potential of integrating mobile technology into education and rehabilitation, but recent systematic reviews have also evaluated the efficacy of computer-based speech and language therapy for children and how digital technology can support different activities, at school or elsewhere.

Objective: This study aimed to analyze a continuous communication and joint team approach to develop solutions focused on the real needs of end users, which digitally emulate reliable and validated physical intervention materials for children with speech sound disorders (SSD).

Methods: The Table to Tablet (T2T) software was developed using a design-based research methodology, which included four phases: activities development; ethnographic pretesting with a sample from the target population; software development; and beta-testing. The technology used to develop the software, the method used to ensure satisfaction and replay ability of the intervention materials, and results from the ethnographic and beta-testing phases are presented.

Results: Nineteen activities were developed during the first phase, which were then tested, with 7 service users, using a physical prototype. The beta-test approach included extensive testing and reformulation, supported by direct, nonparticipant observation and data collection using a questionnaire designed for children. Feedback was used to improve the software and interaction with users.

Conclusions: The use of T2T-based intervention programmes by speech and language therapists (SLTs) will allow these professionals to make a better and more effective communication intervention, based on proven methodologies, that coexists in a structured physical and a digital version. These versions provide a full, 6-week intervention program, with minimal effort in preparing the session by the SLTs while delivering a very consistent intervention, with high replay value. A continuous communication and joint team approach was beneficial to the project and to the development of a solution focused on the real needs of SLTs and children with SSD. All problems were approached as a team with different skills and expertise, which minimized errors (eg, the developer making choices that would save him from spending time doing something that would not be used) and time spent. To add to this, the importance of integrating the end users as testers and collecting their opinions and actions per session allowed the production of better-targeted activities.

Trial registration: ClinicalTrials.gov NCT02490826; https://ichgcp.net/clinical-trials-registry/NCT02490826.

Keywords: children; design-based research; software; speech sound disorders; tablets.

Conflict of interest statement

Conflicts of Interest: None declared.

©Luis MT Jesus, Joaquim Santos, Joana Martinez. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 30.01.2019.

Figures

Figure 1
Figure 1
The Table to Table to Tablet (T2T) development roadmap. CSS: cascading style sheets.
Figure 2
Figure 2
Sprite sheet sub for the Munching Monsters activity.
Figure 3
Figure 3
The “smileyometers”: Left (question 1 and question 2); right (question 3).
Figure 4
Figure 4
Simplified flowchart. SLT: speech and language therapist.
Figure 5
Figure 5
The evolution of the Match activity from the end of second development phase to beta testing. From less buttons and more dependent on the speech and language therapist (left) to less clutter on screen, bigger buttons to accommodate users with less touch screen capacities (middle), and more interactivity in terms of sound production and audiovisual feedback when the user completes an action (right).
Figure 6
Figure 6
The main menu (left) and the Munching Monsters activity (right): area: hearing and discrimination; name: Munching Monsters; description: The child is presented with 2 open-mouth monsters each associated with an illustration of a minimal pair. At the bottom of the screen, there is a hand with a ball moving sideways. When “Play” is pressed, 1 of 2 possible words is heard. The child has to identify the corresponding image and release the ball with the right timing (into the mouth of the monsters). Digital audio feedback is given.

References

    1. Mcleod S, Baker E. Speech-language pathologists' practices regarding assessment, analysis, target selection, intervention, and service delivery for children with speech sound disorders. Clin Linguist Phon. 2014;28(7-8):508–31. doi: 10.3109/02699206.2014.926994.
    1. Oliveira C, Lousada M, Jesus LM. The clinical practice of speech and language therapists with children with phonologically based speech sound disorders. Child Lang Teach Ther. 2014;31(2):173–194. doi: 10.1177/0265659014550420.
    1. Joffe V, Pring T. Children with phonological problems: a survey of clinical practice. Int J Lang Commun Disord. 2008;43(2):154–64. doi: 10.1080/13682820701660259.
    1. Bowen C. Children's Speech Sound Disorders (2nd edition) Oxford: Wiley-Blackwell; 2015.
    1. Dodd B, Holm A, Hua Z, Crosbie S. Phonological development: a normative study of British English‐speaking children. Clin Linguist Phon. 2009;17(8):617–643. doi: 10.1080/0269920031000111348.
    1. Lousada M, Jesus LM, Capelas S, Margaça C, Simões D, Valente A, Hall A, Joffe VL. Phonological and articulation treatment approaches in Portuguese children with speech and language impairments: a randomized controlled intervention study. Int J Lang Commun Disord. 2013;48(2):172–187. doi: 10.1111/j.1460-6984.2012.00191.x.
    1. Arends N, Povel DJ, van Os E, Michielsen S, Claassen J, Feiter I. An evaluation of the Visual Speech Apparatus. Speech Commun. 1991;10(4):405–414. doi: 10.1016/0167-6393(91)90007-G.
    1. Ruscello DM, Cartwright LR, Haines KB, Shuster LI. The use of different service delivery models for children with phonological disorders. J Commun Disord. 1993;26(3):193–203.
    1. Rvachew S, Nowak M, Cloutier G. Effect of phonemic perception training on the speech production and phonological awareness skills of children with expressive phonological delay. Am J Speech Lang Pathol. 2004;13(3):250–263. doi: 10.1044/1058-0360(2004/026).
    1. Wren Y, Roulstone S. A comparison between computer and tabletop delivery of phonology therapy. Int J Speech Lang Pathol. 2008;10(5):346–63. doi: 10.1080/17549500701873920.
    1. McLeod S, Baker E, McCormack J, Wren Y, Roulstone S, Crowe K, Masso S, White P, Howland C. Cluster-randomized controlled trial evaluating the effectiveness of computer-assisted intervention delivered by educators for children with speech sound disorders. J Speech Lang Hear Res. 2017;60(7):1891–1910. doi: 10.1044/2017_JSLHR-S-16-0385.
    1. Saz O, Yin S, Lleida E, Rose R, Vaquero C, Rodríguez WR. Tools and technologies for computer-aided speech and language therapy. Speech Commun. 2009;51(10):948–967. doi: 10.1016/j.specom.2009.04.006.
    1. Popovici D, Buică-Belciu C. Professional challenges in computer-assisted speech therapy. Procedia - Social and Behavioral Sciences. 2012;33:518–522. doi: 10.1016/j.sbspro.2012.01.175.
    1. Ramdoss S, Lang R, Mulloy A, Franco J, O’Reilly M, Didden R, Lancioni G. Use of computer-based interventions to teach communication skills to children with autism spectrum disorders: a systematic review. J Behav Educ. 2010;20(1):55–76. doi: 10.1007/s10864-010-9112-7.
    1. Grossinho A, Guimaraes I, Magalhaes J, Cavaco S. Robust phoneme recognition for a speech therapy environment. IEEE International Conference on Serious Games and Applications for Health (SeGAH); 2016; Orlando, USA. 2016. pp. 1–7.
    1. Kagohara DM, van der Meer L, Ramdoss S, O'Reilly MF, Lancioni GE, Davis TN, Rispoli M, Lang R, Marschik PB, Sutherland D, Green VA, Sigafoos J. Using iPods and iPads in teaching programs for individuals with developmental disabilities: a systematic review. Res Dev Disabil. 2013 Jan;34(1):147–56. doi: 10.1016/j.ridd.2012.07.027.
    1. Vuuren S, Cherney L. A Virtual Therapist for Speech and Language Therapy. 14th International Conference on Intelligent Virtual Agents (IVA); 2014; Boston, USA. 2014. pp. 438–448.
    1. Madeira RN, Mestre V, Ferreirinha T. Phonological disorders in children? Design and user experience evaluation of a mobile serious game approach. Procedia Comput Sci. 2017;113:416–421. doi: 10.1016/j.procs.2017.08.359.
    1. Chen YP, Johnson C, Lalbakhsh P, Caelli T, Deng G, Tay D, Erickson S, Broadbridge P, El Refaie A, Doube W, Morris ME. Systematic review of virtual speech therapists for speech disorders. Computer Speech & Language. 2016 May;37:98–128. doi: 10.1016/j.csl.2015.08.005.
    1. Maich K, Hall C. Implementing iPads in the inclusive classroom setting. Interv Sch Clin. 2015;51(3):145–150. doi: 10.1177/1053451215585793.
    1. Furlong L, Erickson S, Morris M. Computer-based speech therapy for childhood speech sound disorders. J Commun Disord. 2017 Jul;68:50–69. doi: 10.1016/j.jcomdis.2017.06.007.
    1. Rubegni E, Landoni M. The TRiTS model: teacher roles in introducing digital technology into a school curriculum. Cogn Tech Work. 2015;18(2):237–248. doi: 10.1007/s10111-015-0360-0.
    1. Lousada M, Jesus LM, Hall A, Joffe V. Intelligibility as a clinical outcome measure following intervention with children with phonologically based speech-sound disorders. Int J Lang Commun Disord. 2014;49(5):584–601. doi: 10.1111/1460-6984.12095.
    1. Jesus L, Lousada M, Domingues D, Hall A, Tomé D. Phonological processes in Portuguese children with speech sound disorders. Pozn Stud Contemp Linguist. 2015;51(1):75–88. doi: 10.1515/psicl-2015-0003.
    1. Günther Thoms, Hautvast S. Addition of contingency management to increase home practice in young children with a speech sound disorder. Int J Lang Commun Disord. 2010;45(3):345–53. doi: 10.1080/13682820903026762.
    1. de Sousa Monteiro B, Gomes AS, Neto FM. Youubi: open software for ubiquitous learning. Comput Human Behav. 2016;55:1145–1164. doi: 10.1016/j.chb.2014.09.064.
    1. Furió D, González-Gancedo S, Juan MC, Seguí I, Rando N. Evaluation of learning outcomes using an educational iPhone game vs traditional game. Comput Educ. 2013;64:1–23. doi: 10.1016/j.compedu.2012.12.001.
    1. Pereira LL, Brancalioni AR, Keske-Soares M. Phonological therapy with the use of computers: case report. Rev CEFAC. 2013;15(3):681–688. doi: 10.1590/S1516-18462012005000052.
    1. Kebritchi M, Hirumi A. Examining the pedagogical foundations of modern educational computer games. Comput Educ. 2008;51(4):1729–1743. doi: 10.1016/j.compedu.2008.05.004.
    1. Oliveira A, Peixoto E, Ribeiro F, Mota P, Moreira A. Exploração do jogo "Fazenda Feliz" em contexto educativo. Indag Didact. 2014;6(2):121–134.
    1. Virvou M, Alepis E. Mobile educational features in authoring tools for personalised tutoring. Comput Educ. 2005;44(1):53–68. doi: 10.1016/j.compedu.2003.12.020.
    1. Martins JS, Pinheiro MM, Blasi HF. The use of a children software in the treatment of central auditory processing disorder. Rev Soc Bras Fonoaudiol. 2008;13(4):398–404. doi: 10.1590/S1516-80342008000400016.
    1. Cohé A, Hachet M. Beyond the mouse: understanding user gestures for manipulating 3D objects from touchscreen inputs. Comput Graph. 2012 Dec;36(8):1119–1131. doi: 10.1016/j.cag.2012.09.004.
    1. Gačnik M, Starčič AI, Zaletelj J, Zajc M. User-centred app design for speech sound disorders interventions with tablet computers. Univ Access Inf Soc. 2017 Jul 1;17(4):821–832. doi: 10.1007/s10209-017-0545-9.
    1. International Data Corporation. 2017. [2018-11-27]. Commercial Notebooks and Detachable Tablets Will Drive a Return to Growth in the Personal Computing Device Market in 2019 (Doc #prUS42595417 / 25-May-2017) Internet .
    1. Neumann MM. Parent scaffolding of young children’s use of touch screen tablets. Early Child Dev Care. 2017;188(12):1654–1664. doi: 10.1080/03004430.2016.1278215.
    1. International Data Corporation. 2016. [2018-11-27]. Worldwide Tablet Market Forecast to Rebound in 2018 as Detachables Gain Traction in Both Mature and Emerging Markets .
    1. Barab S, Squire K. Design-based research: putting a stake in the ground. J Learn Sci. 2004;13(1):1–14. doi: 10.1207/s15327809jls1301_1.
    1. Jesus LM, Martinez J, Valente AR, Costa MC. Speech and language therapy service delivery: overcoming limited provision for children. Public Health. 2017;151:39–50. doi: 10.1016/j.puhe.2017.06.013.
    1. Wilkins A, Cleave R, Grayson N, Wilson L. Typography for children may be inappropriately designed. J Res Read. 2009;32(4):402–412. doi: 10.1111/j.1467-9817.2009.01402.x.
    1. Rello L, Baeza-Yates R. Good fonts for dyslexia. 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS); October 21-23, 2013; Bellevue, Washington. 2013. pp. 1–8.
    1. Weightman AP, Preston N, Holt R, Allsop M, Levesley M, Bhakta B. Engaging children in healthcare technology design: developing rehabilitation technology for children with cerebral palsy. J Eng Des. 2009;21(5):579–600. doi: 10.1080/09544820802441092.
    1. Hughes JK, Kearney P. Impact of an iDevice application on student learning in an occupational therapy kinesiology course. Mhealth. 2017;3:43. doi: 10.21037/mhealth.2017.08.02. doi: 10.21037/mhealth.2017.08.02.
    1. Boy GA. Tangible Interactive Systems. Cham, Switzerland: Springer; 2016.
    1. Elghondakly R, Moussa S, Badr N. A Comprehensive Study for Software Testing and Test Cases Generation Paradigms. International Conference on Internet of Things and Cloud Computing; March 22-23, 2016; Cambridge, United Kingdom. 2016.
    1. Patton R. Software Testing (2nd edition) Indianapolis: SAMS; 2006.
    1. Korf M, Oksman E. Salesforce Developers. 2016. [2018-11-27]. Native, HTML5, or Hybrid: Understanding Your Mobile Application Development Options .
    1. Faas T. An Introduction to HTML5 Game Development with Phaser.js. Boca Raton: CRC; 2017.
    1. McCormack J, Baker E, Masso S, Crowe K, McLeod S, Wren Y, Roulstone S. Implementation fidelity of a computer-assisted intervention for children with speech sound disorders. Int J Speech Lang Pathol. 2017;19(3):265–276. doi: 10.1080/17549507.2017.1293160.
    1. Jones B, Popovic J, McCann J, Li W, Bargteil A. Dynamic sprites: artistic authoring of interactive animations. Comput Animat Virtual Worlds. 2014;26(2):97–108. doi: 10.1002/cav.1608.
    1. Apple Inc. 2016. [2018-11-27]. Creating Compatible Web Content .
    1. MDN web docs. [2018-11-27]. .
    1. Josh Morony. 2017. [2018-12-02]. How to Scale a Game for All Device Sizes in Phaser
    1. Schaefer C, Hyunsook D, Slator B. Crushinator: A framework towards game-independent testing. 28th IEEE/ACM International Conference on Automated Software Engineering (ASE); November 11-15, 2013; Silicon Valley, USA. 2013. pp. 726–729.
    1. Matsunaga RM, de Oliveira Moraes RL, Borges MA, Matta MA, Ozelo MC. Development of a serious game for children with hemophilia. 3rd International Conference on Serious Games and Applications for Health (SeGAH); May 14-16, 2014; Rio de Janeiro, Brazil. 2014. pp. 1–6.
    1. Gold SC, Wolfe J. The validity and effectiveness of a business game beta test. Simul Gaming. 2011;43(4):481–505. doi: 10.1177/1046878111431868.
    1. Zhu Z. Study on beta testing of web application. 2nd International Conference on Computer and Automation Engineering (ICCAE); February 26-28, 2010; Singapore, Singapore. 2010. pp. 423–426.
    1. Druin A. A place called childhood. ACM Interact. 1996;3(1):17–22. doi: 10.1145/223500.223506.
    1. Read JC. Validating the Fun Toolkit: an instrument for measuring children's opinions of technology. Cogn Technol Work. 2008;10(2):119–128. doi: 10.1007/s10111-007-0069-9.
    1. Anthony L, Brown Q, Tate B, Nias J, Brewer R, Irwin G. Designing smarter touch-based interfaces for educational contexts. Pers Ubiquit Comput. 2013;18(6):1471–1483. doi: 10.1007/s00779-013-0749-9.
    1. Google Developers. 2017. [2018-11-27]. Supported Media Formats .
    1. Apple Inc. 2014. [2018-11-27]. Supported Audio File and Data Formats in OS X .

Source: PubMed

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