5 CONCLUSIONS
Metaverse4Deaf proposes an integrative structure to
incorporate individuals with hearing impairment in
the context of distance education, using an envi-
ronment based on metaverse. The main objective is
to understand the behavior of deaf people through
exploratory study. This approach aims to identify
emerging behaviors in interaction, outlining elements
that can be integrated into the metaverse environment.
Implementing these behaviors in this environment
would result in an improved version whose require-
ments were extracted from an ethnographic study as a
requirements elicitation technique.
Future developments include implementing the
results into DALverse, derived from the continued
application of the developing framework. This im-
plementation process seeks to evaluate both Meta-
verse4Deaf and the interaction of deaf individuals in a
collaborative distance learning environment based on
the metaverse. It should be noted that this framework
is constantly being improved, characterizing itself as
a work in progress.
REFERENCES
Alfaisal, R., Hashim, H., and Azizan, U. H. (2022). Meta-
verse system adoption in education: a systematic lit-
erature review. Journal of Computers in Education,
pages 1–45.
Ball, M. (2022). The metaverse: what it is, where to find it,
and who will build it. 2020.
Barbosa, S. D. J., Silva, B. S. d., Silveira, M. S., Gas-
parini, I., Darin, T., and Barbosa, G. D. J. (2021).
Intera¸c
˜
ao Humano-Computador e Experi
ˆ
encia do
Usuario. Autopublica¸c
˜
ao.
Bersch, R. (2008). Introduc¸
˜
ao
`
a tecnologia assistiva. Porto
Alegre: CEDI, 21.
Card, S. K. (2018). The psychology of human-computer
interaction. Crc Press.
Carroll, J. M. (2003). HCI models, theories, and frame-
works: Toward a multidisciplinary science. Elsevier.
Cartaxo, B., Pinto, G., and Soares, S. (2018). The role of
rapid reviews in supporting decision-making in soft-
ware engineering practice. In Proceedings of the 22nd
International Conference on Evaluation and Assess-
ment in Software Engineering 2018, pages 24–34.
Clark, H. H. (1992). Arenas of language use. University of
Chicago Press.
Cline, E. (2011). Ready player one. Ballantine Books.
Damasceno, A., Soares, P., Santos, I., Souza, J., and
Oliveira, F. (2023). Assistive technology for distance
education in metaverse-based environment: A rapid
review. Anais do XXXIV Simp
´
osio Brasileiro de In-
form
´
atica na Educac¸
˜
ao, pages 693–706.
Damasceno, A. R., Martins, A. R., Chagas, M. L., Barros,
E. M., Maia, P. H. M., and Oliveira, F. C. (2020). Stu-
art: an intelligent tutoring system for increasing scal-
ability of distance education courses. In Proceedings
of the 19th Brazilian Symposium on Human Factors in
Computing Systems, pages 1–10.
Davis, A., Murphy, J., Owens, D., Khazanchi, D., and Zig-
urs, I. (2009). Avatars, people, and virtual worlds:
Foundations for research in metaverses. Journal of
the Association for Information Systems, 10(2):1.
de MB Oliveira, F. C., de Freitas, A. T., de Araujo, T. A.,
Silva, L. C., Queiroz, B. d. S., and Soares,
´
E. F.
(2016). It education strategies for the deaf-assuring
employability. In International Conference on Enter-
prise Information Systems, volume 3, pages 473–482.
SCITEPRESS.
Fernandes, F. and Werner, C. (2022). Accessibility in
the metaverse: Are we prepared? In Anais do
XIII Workshop sobre Aspectos da Interac¸
˜
ao Humano-
Computador para a Web Social, pages 9–15. SBC.
Jovanovi
´
c, A. and Milosavljevi
´
c, A. (2022). Vortex meta-
verse platform for gamified collaborative learning.
Electronics, 11(3):317.
Kendon, A. (2004). Gesture: Visible action as utterance.
Cambridge University Press.
Lin, H., Wan, S., Gan, W., Chen, J., and Chao, H.-C. (2022).
Metaverse in education: Vision, opportunities, and
challenges. arXiv preprint arXiv:2211.14951.
Nascimento, M. D., Queiroz, B., Guimaraes, M., Silva,
L. C., Soares, E., Oliveira, F., Ribeiro, D., and Fer-
reira, C. (2017). Aprendizado acessivel. In Anais dos
Workshops do Congresso Brasileiro de Inform
´
atica na
Educac¸ao, volume 6, page 110.
Newell, A., Simon, H. A., et al. (1972). Human problem
solving, volume 104. Prentice-hall Englewood Cliffs,
NJ.
Onggirawan, C. A., Kho, J. M., Kartiwa, A. P., Gunawan,
A. A., et al. (2023). Systematic literature review:
The adaptation of distance learning process during the
covid-19 pandemic using virtual educational spaces
in metaverse. Procedia Computer Science, 216:274–
283.
Quek, F. and Oliveira, F. (2013). Enabling the blind to see
gestures. ACM Transactions on Computer-Human In-
teraction (TOCHI), 20(1):1–32.
Silva, L. C., de MB Oliveira, F. C., De Oliveira, A. C., and
De Freitas, A. T. (2014). Introducing the jload: A
java learning object to assist the deaf. In 2014 IEEE
14th International Conference on Advanced Learning
Technologies, pages 579–583. IEEE.
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Met-
wally, A. H. S., Wang, H., Denden, M., Bozkurt,
A., Lee, L.-H., et al. (2022). Is metaverse in educa-
tion a blessing or a curse: a combined content and
bibliometric analysis. Smart Learning Environments,
9(1):1–31.
Vianna, W. B. and Pinto, A. L. (2017). Defici
ˆ
encia, acessi-
bilidade e tecnologia assistiva em bibliotecas: aspec-
tos bibliom
´
etricos relevantes. Perspectivas em Ci
ˆ
encia
da Informac¸
˜
ao, 22:125–151.
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