Derechos de autor 2024 Investigación e Innovación en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Innovador teclado virtual híbrido: un enfoque simbólico para mejorar la comunicación en individuos con patologías neuromusculares severas
Corresponding Author(s) : Jovani Alberto Jiménez Builes
Investigación e Innovación en Ingenierías,
Vol. 12 Núm. 1 (2024): Enero-Junio
Resumen
Objetivo. El objetivo del estudio es mejorar la eficiencia de la comunicación para individuos con patologías neuromusculares avanzadas, específicamente aumentando el número de letras escritas por segundo a través de un software híbrido de Comunicación Aumentativa y Alternativa (AAC).
Métodos. La metodología utilizada implica el desarrollo de un software híbrido AAC que puede activarse a través de eventos acústicos, físicos o selección codificada. Además, se implementó este sistema en una aplicación de Android y se realizó un estudio del grupo objetivo para evaluar su usabilidad y accesibilidad.
Resultados. Los resultados indican que el teclado propuesto supera muchas de las limitaciones de los sistemas AAC tradicionales, proporcionando mayor usabilidad y eficiencia en la comunicación para personas con enfermedades neuromusculares.
Conclusiones. En conclusión, el estudio demuestra que el teclado propuesto ofrece una solución alternativa para mejorar la comunicación de personas con patologías neuromusculares, lo que les permite acceder a la inclusión educativa y laboral mediante el uso de cualquier tipo de computador.
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- E. Smith, S. Huff, H. Wescott, R. Daniel, I. Ebuenyi, J. O’Donnell, M. Maalim, W. Zhang, C. Khasnabis and M. MacLachlan. “Assistive technologies are central to the realization of the Convention on the Rights of Persons with Disabilities”. Disability and Rehabilitation: Assistive Technology, vol. 19(2), pp. 486-491. DOI: 10.1080/17483107.2022.2099987.
- N. Layton, D. Bell, J. Borg, E. Steel, M. Maclachlan, E. Tebbutt, C. Khasnabis and S. Swaminathan. “Assistive technology as a pillar of universal health coverage: Qualitative analysis of stakeholder responses to the world health assembly resolution on assistive technology”. Disability and Rehabilitation: Assistive Technology, vol. 15(7), pp. 825-831, 2020.
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- B. Romich. “Language representation method issues in AAC: All are not equal”. In Annual Southeast Augmentative Communication Conference, pp. 1-2. Birmingham: Institute of Education Sciences, 2019.
- I. Choi, E. Ofek, H. Benko, M. Sinclair and C. Holz. “Claw: A multifunctional handheld haptic controller for grasping, touching, and triggering in virtual reality”. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems pp. 1-13, 2018. Association for Computing MachineryNew YorkNYUnited States. DOI: 10.1145/3173574.3174228.
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- S. Penkler. “A comparison of the graphic symbol utterances arranged by children with little or no functional speech and children with typical development”. PhD diss., University of Pretoria, 2014.
- R. Bhaskar and B. Darras. “Motor neuron disease”. Pediatric Electromyography, pp. 199-220, 2017. DOI: 10.1007/978-3-319-61361-1_16.
- G. Indumathi and V.Sathananthavathi. “Cost-effective assistive device for motor neuron disease”. In Handbook of Decision Support Systems for Neurological Disorders, pp. 89-106. Academic Press, 2021. DOI: 10.1016/B978-0-12-822271-3.00003-7.
- A. Arif and S. Wolfgang. “Evaluation of a new error prevention technique for mobile touchscreen text entry”. In Proceedings of the 25th Australian Computer-Human Interaction Conference on Augmentation, Application, Innovation, Collaboration, pp. 397-400, 2013. Adelaide: ACM. DOI: 10.1145/2541016.2541063.
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- S. Critten, V. Connelly, J. Dockrell, I. Mundy, L. O’Rourke, L., Callaghan and K. Walter. “Handwriting processes when spelling morphologically complex words in children with and without Developmental Language Disorder”. Frontiers in Psychology, vol. 14, 111246, 2023. DOI: 10.3389/fpsyg.2023.1112462.
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Referencias
P. Ribino, S. Islam, M. Ciampi and S. Papastergiou. “Swarm intelligence based multi-agent communication model for securing healthcare ecosystem”. In International Conference on Ubiquitous Computing and Ambient Intelligence, pp. 50-61. Cham: Springer International Publishing, 2022. DOI: 10.1016/j.procs.2022.10.131.
A., Kwang, D. Kim and J. Kim. “Development of a virtual keyboard system using a bio-signal interface and preliminary usability test”. In Human-Computer Interaction, Towards Intelligent and Implicit Interaction. Lecture Notes in Computer Science, vol. 8008, Kurosu, M. (eds). Berlin: Springer, 2013. DOI: 10.1007/978-3-642-39342-6_1.
J. Finke and A. Lisa. “A systematic review of the effectiveness of nurse communication with patients with complex communication needs with a focus on the use of augmentative and alternative communication”. J Clin Nurs., vol. 17(16), pp. 2102-15, 2008. DOI: 10.1111/j.1365-2702.2008.02373.x.
J. Cook and P. Encarnação. “Assistive technologies-e-book: principles and practice”. Riverport Lane: Elsevier Health Sciences, 2019.
E. Smith, S. Huff, H. Wescott, R. Daniel, I. Ebuenyi, J. O’Donnell, M. Maalim, W. Zhang, C. Khasnabis and M. MacLachlan. “Assistive technologies are central to the realization of the Convention on the Rights of Persons with Disabilities”. Disability and Rehabilitation: Assistive Technology, vol. 19(2), pp. 486-491. DOI: 10.1080/17483107.2022.2099987.
N. Layton, D. Bell, J. Borg, E. Steel, M. Maclachlan, E. Tebbutt, C. Khasnabis and S. Swaminathan. “Assistive technology as a pillar of universal health coverage: Qualitative analysis of stakeholder responses to the world health assembly resolution on assistive technology”. Disability and Rehabilitation: Assistive Technology, vol. 15(7), pp. 825-831, 2020.
J. Light and D. McNaughton. “Communicative competence for individuals who require augmentative and alternative communication: A new definition for a new era of communication?” Augmentative and Alternative Communication, vol. 30(1) pp. 1-18, 2014. DOI: 10.3109/07434618.2014.885080.
P. Mirenda. “Augmentative and alternative communication”. In Encyclopedia of Autism Spectrum Disorders, pp. 328-333, 2013. New Yok: Springer. DOI: 10.1007/978-1-4419-1698-3_486.
S. Jorgensen, M. Laund and W. Arnold. “Motor neuron diseases”. In Braddom’s Physical Medicine and Rehabilitation, pp. 820-841. Elsevier, 2021. DOI: 10.1016/B978-0-323-62539-5.00040-0.
G. Dorn and X. Dang. “Predicting mitochondrial dynamic behavior in genetically defined neurodegenerative diseases”. Cells, vol. 11(6), 1049, 2022. DOI: 10.3390/cells11061049.
J. Light, K. Wilkinson, A. Thiessen, D. Beukelman and S. Koch. “Designing effective AAC displays for individuals with developmental or acquired disabilities: State of the science and future research directions”. Augmentative and Alternative Communication, vol. 35(1), pp. 42-55, 2018. DOI: 10.1080/07434618.2018.1558283.
F. Bircanin, B. Ploderer, L. Sitbon, A. Bayor and M. Brereton. “Challenges and opportunities in using augmentative and alternative communication (AAC) technologies: Design considerations for adults with severe disabilities”. In Proceedings of the 31st Australian Conference on Human-Computer-Interaction, 184-196. New York: Association for Computing Machinery, 2020. DOI: 10.1145/3369457.3369473.
I. Seray, A, Vasalou and M. Clarke. “Design opportunities for AAC and children with severe speech and physical impairments”. In Proceedings of the CHI Conference on Human Factors in Computing Systems, 227, pp. 1-13, 2018. Montreal: ACM SIGCHI. DOI: 10.1145/3173574.3173801.
H. Kavusi, K. Maghooli and S. Haghipour. “A novel algorithm to model the neuromuscular system from the eye to fingers to authenticate individuals through a typing process”. Electronic Commerce Research, vol. 1(22). DOI: 10.1007/s10660-022-09594-0.
J. Boster, U. Findlen, K. Pitt and J. McCarthy. “Design of aided augmentative and alternative communication systems for children with vision impairment: psychoacoustic perspectives”. Augmentative and Alternative Communication, vol. 1(11). DOI: 10.1080/07434618.2023.2262573.
A. Moorcroft, N. Scarinci and C. Meyer. “We were just kind of handed it and then it was smoke bombed by everyone: How do external stakeholders contribute to parental rejection and the abandonment of AAC systems?” International Journal of Language & Communication Disorders, vol. 55(1), pp. 59-69, 2020. DOI: 10.1111/1460-6984.12502.
B. Romich. “Language representation method issues in AAC: All are not equal”. In Annual Southeast Augmentative Communication Conference, pp. 1-2. Birmingham: Institute of Education Sciences, 2019.
I. Choi, E. Ofek, H. Benko, M. Sinclair and C. Holz. “Claw: A multifunctional handheld haptic controller for grasping, touching, and triggering in virtual reality”. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems pp. 1-13, 2018. Association for Computing MachineryNew YorkNYUnited States. DOI: 10.1145/3173574.3174228.
C. McHutchison, D. Leighton, A. McIntosh, E. Cleary, J. Warner, M. Porteous, S. Chandran, S. Pal and S. Abrahams. “Relationship between neuropsychiatric disorders and cognitive and behavioural change in MND”. J Neurol Neurosurg Psychiatry, vol. 91(3) pp. 45-253, 2020. DOI: 10.1136/jnnp-2019-321737.
T. Papadopoulos, K. Evangelidis, T. Kaskalis, G. Evangelidis and S. Sylaiou. “Interactions in augmented and mixed reality: An overview. Applied Sciences”, vol. 11(18), pp. 8752, 2021. DOI: 10.3390/app11188752.
C. Jackson and J. Rosenfeld. “Motor neuron disease”. Physical Medicine and Rehabilitation Clinics of North America, vol. 12(2), pp. 335-352, 2001. DOI: 10.1016/S1047-9651(18)30073-1.
A. Holzinger. “Usability engineering methods for software developers”. Communications of the ACM, vol. 48(1), pp. 71-74, 2005. DOI: 10.1145/1039539.1039541.
K. Talbot and R. Marsden. “Motor neuron disease”. Postgrad Med J., vol. 78(923), pp. 513-9, 2008. DOI: 10.1136/pmj.78.923.513.
J. Sánchez, C. Zapata and J. Jiménez. “Evaluación heurística de la usabilidad de software para facilitar el uso del computador a personas en situación de discapacidad motriz”. Rev.EIA.Esc. Ing.Antioq, Nro. 27, pp. 63-72, 2017. DOI: 10.24050/reia.v14i27.785.
B. Rodenberg, I. Desai, R. Hertrich, A. Jaust and B. Uekermann. “FEniCS-preCICE: Coupling FEniCS to other simulation software”. SoftwareX, vol. 16, 2021. DOI: 10.1016/j.softx.2021.100807.
S. Ghosh, S. Sayan and S. Debasis. “Designing an efficient virtual keyboard for text composition in Bengali”. In Proceedings of the 3rd International Conference on Human Computer Interaction, pp. 84. Prague: ACM, 2011. DOI: 10.1145/2407796.2407809.
M. Jordan, G. Neto, A. Brito and P. Nohama. “Virtual keyboard with the prediction of words for children with cerebral palsy”. Computer Methods and Programs in Biomedicine, vol. 192, 105402, 2020. DOI: 10.1016/j.cmpb.2020.105402.
S. Penkler. “A comparison of the graphic symbol utterances arranged by children with little or no functional speech and children with typical development”. PhD diss., University of Pretoria, 2014.
R. Bhaskar and B. Darras. “Motor neuron disease”. Pediatric Electromyography, pp. 199-220, 2017. DOI: 10.1007/978-3-319-61361-1_16.
G. Indumathi and V.Sathananthavathi. “Cost-effective assistive device for motor neuron disease”. In Handbook of Decision Support Systems for Neurological Disorders, pp. 89-106. Academic Press, 2021. DOI: 10.1016/B978-0-12-822271-3.00003-7.
A. Arif and S. Wolfgang. “Evaluation of a new error prevention technique for mobile touchscreen text entry”. In Proceedings of the 25th Australian Computer-Human Interaction Conference on Augmentation, Application, Innovation, Collaboration, pp. 397-400, 2013. Adelaide: ACM. DOI: 10.1145/2541016.2541063.
K. Sunghyuk, D. Lee and M. Chung. “Effect of key size and activation area on the performance of a regional error correction method in a touch-screen QWERTY keyboard”. International Journal of Industrial Ergonomics, vol. 39(5), pp. 888-893, 2009. DOI: 10.1016/J.ERGON.2009.02.013.
J. Mirró and P. Bernabeu. “Text entry in the e-commerce age: Two proposals for the severely handicapped”. Journal of Theoretical and Applied Electronic Commerce Research, vol 4(1), pp. 101-112, 2009. DOI: 10.4067/s0718-18762009000100009.
A. Molina, O. Rivera and I. Gómez. “Measuring performance of virtual keyboards based on cyclic scanning”. In Fifth International Conference on Autonomic and Autonomous Systems, pp. 174-178, 2009. Valencia: IEEE. DOI: 10.1109/ICAS.2009.35.
J. Simathamanand and K. Piromsopa. “Performance optimization of Thai virtual keyboard for social networking”. In Eighth International Joint Conference on Computer Science and Software Engineering, pp. 210-213, 2011. Nakhonpathom: IEEE. DOI: 10.1109/JCSSE.2011.5930122.
L. Hoste and B. Signer. “SpeeG2”. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 213-220, 2013. New York: ACM. DOI: 10.1145/2522848.2522861.
A. Radončić, S. Hadžić, J. and J. Laković. “Brain-computer interface through the prism of modern age”. In Mediterranean Conference on Medical and Biological Engineering and Computing, pp. 292-323. Cham: Springer Nature Switzerland, 2023. DOI: 10.1007/978-3-031-49068-2_32.
L. Tao, Q. Wang, D. Liu, J. Wang, Z. Zhu and L. Feng. “Eye tracking metrics to screen and assess cognitive impairment in patients with neurological disorders”. Neurological Sciences, vol. 41, pp. 1697-1704, 2020. DOI: 10.1007/s10072-020-04310-y.
H. Edughele, Y. Zhang, F. Muhammad, Q. Vien, H. Morris and M. Agyeman. “Eye-tracking assistive technologies for individuals with amyotrophic lateral sclerosis”. IEEE Access, vol. 10, pp. 41952-41972, 2022. DOI: 10.1109/ACCESS.2022.3164075.
P. Varcholik, J. LaViola and C. Hughes. “Establishing a baseline for text entry for a multi-touch virtual keyboard”. International Journal of Human-Computer Studies, vol. 70(10), pp. 657-672, 2012. DOI: 10.1016/J.IJHCS.2012.05.007.
S. Critten, V. Connelly, J. Dockrell, I. Mundy, L. O’Rourke, L., Callaghan and K. Walter. “Handwriting processes when spelling morphologically complex words in children with and without Developmental Language Disorder”. Frontiers in Psychology, vol. 14, 111246, 2023. DOI: 10.3389/fpsyg.2023.1112462.
R. Amery, J. Wunungmurra, G. Bukuḻatjpi, R. Dikul, F. Gumbula, E. Yunupingu, P. Raghavendrac, R. Barker, D. Theodoros, H. Amery, L. Massery and A. Lowell. “Designing augmentative and alternative communication systems with Aboriginal Australians: vocabulary representation, layout, and access”. Augmentative and Alternative Communication, vol. 38(4), pp. 221-235, 2022. DOI: 10.1080/07434618.2022.2129782.
S. Judge, J. Murray, Y. Lynch, S. Meredith, L. Moulam, N. Randall and J. Goldbart. “Attributes of communication aids as described by those supporting children and young people with AAC”. International Journal of Language & Communication Disorders, vol. 58(3), pp. 910-928, 2023. DOI: 10.1111/1460-6984.12833.
L. Meloni, B. Appelhaus, L., Sanvido and C. Reale. “Semantic of iconic languages”. RiCOGNIZIONI. Rivista di Lingue e Letterature straniere e Culture moderne, vol. 9(18), 2022. DOI: 10.13135/2384-8987/7095.
C. Reale, M. Kilani, A. Giménez, N. Barbashova and R. Oechslin. “From hieroglyphs to emoji, to ikon: The search of the (perfect?) visual language”. In International Conference on Human-Computer Interaction, pp. 457-476. Cham: Springer International Publishing, 2021. DOI: 10.1007/978-3-030-78221-4_31.
H. Yusufali, S. Goetze and R. Moore. “Bridging the communication rate gap: Enhancing text input for augmentative and alternative communication (AAC)”. In International Conference on Human-Computer Interaction, pp. 434-452. Copenhagen, Denmark. Lecture Notes in Computer Science, 14055. Springer Cham. DOI: 10.1007/978-3-031-48041-6_29.
Y. Elsahar, S. Hu, K. Bouazza, D. Kerr and A. Mansor. “Augmentative and alternative communication (AAC) advances: A review of configurations for individuals with a speech disability”. Sensors, vol. 19, 2019. DOI: 10.3390/s19081911.
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