Scientific production on the use of ICT as a tool for social inclusion for deaf people: a bibliometric analysis
DOI:
https://doi.org/10.56294/saludcyt2023318Keywords:
Information Technologies, Social Inclusion, Deaf People, Scientific ProductionAbstract
Introduction: this article presents a bibliometric analysis on the scientific production related to the use of Information and Communication Technologies (ICT) as a tool for the social inclusion of deaf people.
Objective: the objective of this study is to identify the trends and patterns of scientific production in this field of research, as well as to determine the most relevant countries, authors and publication sources.
Methods: a systematic search was carried out in Scopus, using the keyword "deaf" combined with "worker" in the area of computing. 140 scientific publications that met the inclusion criteria were selected.
Results: the results of the bibliometric analysis show a significant increase in the number of publications related to the use of ICT as a tool for social inclusion for deaf people from the year 2008. In addition, six countries responsible for 56 % of the production were identified. science: United States, India, United Kingdom, Brazil, Japan and Spain. The most published author is Bigham Jeffrey P., affiliated with Carnegie Mellon University. The universities with the highest affiliation in the publications are Carnegie Mellon and Rochester Institute of Technology.
Conclusions: This bibliometric analysis reveals a growing interest in the use of ICT as a tool for social inclusion for deaf people, and provides valuable information on the most relevant countries, authors and publication sources in the study area. The results suggest the need to continue research in this area and promote international collaboration to advance the social inclusion of deaf people
References
1. Moya, J., & Pascual, G. (2019). Tecnologías de la información y comunicación para la inclusión social de personas sordas. Revista de Investigación Académica, 58, 1-12.
2. Rodríguez-Fuentes, A., González-González, I., & Sánchez-Cuadrado, S. (2020). Las TIC en la inclusión social de las personas sordas: una revisión sistemática de la literatura. Revista de Investigación en Tecnología e Inclusión, 6(1), 34-49.
3. Marín, F. (2019). Políticas de inclusión laboral para personas con discapacidad en América Latina: una revisión de la literatura. Revista Internacional de Organizaciones, (24), 105-125.
4. Escobar-Ballona, D., Gómez-Sánchez, A., & Silva-Morales, E. (2019). Producción científica sobre discapacidad auditiva y tecnologías de la información: un análisis bibliométrico. Revista de Investigación Académica, 56, e1279.
5. Catarina Andrade Gontijo M, Yuri Hamanaka R, Ferreira de Araujo R. Research data management: production and impact from Dimensions database data. Advanced Notes in Information Science. 2022;2:112-20. https://doi.org/10.47909/anis.978-9916-9760-3-6.89.
6. Robles R. Research lines in mining in the 21st century: A retrospective and bibliometric analysis of the literature from an environmental perspective. Iberoamerican Journal of Science Measurement and Communication. 2022;2(1):1-16. https://doi.org/10.47909/ijsmc.151
7. Al-Jarrah O, Halawani A. Recognition of gestures in Arabic sign language using neuro-fuzzy systems. Artif Intell. 2001;133(1-2):117-38. doi: 10.1016/S0004-3702(01)00141-2.
8. Lasecki WS, Bigham JP. Online quality control for real-time crowd captioning. In: 14th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2012. 2012. p. 143-50. doi: 10.1145/2384916.2384942
9. Bragg D, Koller O, Bellard M, Berke L, Boudreault P, Braffort A, et al. Sign language recognition, generation, and translation: An interdisciplinary perspective. In: 21st International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2019; 2019. p. 16-31. doi: 10.1145/3308561.3353774
10. Matthews T, Fong J, Ho-Ching FW-L, Mankoff J. Evaluating non-speech sound visualizations for the deaf. Behav Inf Technol. 2006;25(4):333-351. doi: 10.1080/01449290600636488.
11. Henderson V, Lee S, Brashear H, Hamilton H, Starner T, Hamilton S. Development of an American Sign Language game for deaf children. In: Interaction Design and Children 2005, IDC 2005. 2005. p. 70-9. doi: 10.1145/1109540.1109550.
12. Trigueiros P, Ribeiro F, Reis LP. Vision-based portuguese sign language recognition system. In: 2014 World Conference on Information Systems and Technologies, WorldCIST 2014: Vol. 275 AISC (Issue VOLUME 1, pp. 605–617). Springer Verlag; 2014. p. 605–617. doi: 10.1007/978-3-319-05951-8_57.
13. San-Segundo R, Pardo JM, Ferreiros J, Sama V, Barra-Chicote R, Lucas JM, Sánchez D, García A. Spoken Spanish generation from sign language. Interact Comput. 2010;22(2):123-139. doi: 10.1016/j.intcom.2009.11.011.
14. Majorana C, Sgarbossa L, Salomoni V. New methodologies in teaching e-structural mechanics using WWW. Comput Appl Eng Educ. 2008;16(3):189-210. doi: 10.1002/cae.20167.
15. Morrissey S, Way A. Manual labour: Tackling machine translation for sign languages. Machine Translation. 2013;27(1):25-64. doi: 10.1007/s10590-012-9133-1.
16. Lasecki WS, Bigham JP. Online quality control for real-time crowd captioning. In: 14th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2012. 2012. p. 143-50. doi: 10.1145/2384916.2384942
17. Kacorri H, Huenerfauth M, Ebling S, Patel K, Menzies K, Willard M. Regression analysis of demographic and technology-experience factors influencing acceptance of sign language animation. ACM Trans Access Comput. 2017;10(1). doi: 10.1145/3046787.
18. Ebling S, Glauert J. Building a Swiss German Sign Language avatar with JASigning and evaluating it among the Deaf community. Univ Access Inf Soc. 2016;15(4):577-87. doi: 10.1007/s10209-015-0408-1.
19. Kong WW, Ranganath S. Sign language phoneme transcription with rule-based hand trajectory segmentation. J Signal Process Syst. 2010;59(2):211-22. doi: 10.1007/s11265-008-0292-5.
20. Ortega A, Garcia JE, Miguel A, Lleida E. Real-time live broadcast news subtitling system for Spanish. In: Proceedings of the 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009. 2009:2095-2098.
21. Lasecki WS, Miller CD, Naim I, Kushalnagar R, Sadilek A, Gildea D, Bigham JP. Scribe: Deep integration of human and machine intelligence to caption speech in real time. Commun ACM. 2017;60(9):93-100. doi: 10.1145/3068663.
22. Debevc M, Kosec P, Holzinger A. E-learning accessibility for the deaf and hard of hearing - Practical examples and experiences. In: 6th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering, USAB 2010. Vol. 6389 LNCS. Springer; 2010. p. 203-13. doi: 10.1007/978-3-642-16607-5_13.
23. Khenissi MA, Bouzid Y, Essalmi F, Jemni M. A Learning game for deaf learners. In: C. N.-S., L. T.-C., Kinshuk, H. R., H. G.-J., S. D.G., & T. C.-C., editors. 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015. IEEE; 2015. p. 418-22. doi: 10.1109/ICALT.2015.98.
24. Lasecki WS, Kushalnagar R, Bigham JP. Legion scribe: Real-time captioning by non-experts. In: Proceedings of the 16th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2014. 2014:303-304.
25. Vesel J, Robillard T. Teaching mathematics vocabulary with an interactive signing math dictionary. J Res Technol Educ. 2013;45(4):361-389. doi: 10.1080/15391523.2013.10782610.
26. Melonio A, Gennari R. How to design games for deaf children: Evidence-based guidelines. En: Advances in Intelligent Systems and Computing. Vol 218. Springer Verlag; 2013:83-92. doi: 10.1007/978-3-319-00554-6_11.
27. Repiso R, Moreno-Delgado A, Aguaded I. Factors affecting the frequency of citation of an article. Iberoamerican Journal of Science Measurement and Communication. 2020;1(1):007. https://doi.org/10.47909/ijsmc.08
28. Van Dijk, J. A. (2012). The evolution of the digital divide: The digital divide turns to inequality of skills and usage. In Chadwick, A., & Howard, P. N. (Eds.), Routledge Handbook of Internet Politics (pp. 61-76). Routledge.
29. Warschauer, M. (2010). Digital literacy studies: Progress and prospects. In Coiro, J., Knobel, M., Lankshear, C., & Leu, D. J. (Eds.), Handbook of research on new literacies (pp. 881-898). Lawrence Erlbaum Associates.
30. García, M. B. (2022). Tecnologías educativas para la inclusión. Editorial Unimagdalena.
31. Bolaño-García, M. (2022). Empoderamiento de las tecnologías para la participación y la transformación social. Praxis, 18(1).
32. García, M. B. (2019). Modelo basado en el uso de las TIC para la inclusión de estudiantes con capacidades diversas. DIM: Didáctica, Innovación y Multimedia, (37).
33. González Castro KJ, Villalobo Ropain NP, Bolaño García M. Levels of technological competence in the use of social networks among teachers in Santa Marta. Metaverse Basic and Applied Research. 2022;2:27. https://doi.org/10.56294/mr202327
Published
Issue
Section
License
Copyright (c) 2023 Matilde Bolaño García , Nixon Duarte Acosta , Keguin González Castro (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
