Inovação em recursos humanos: o uso de tecnologias imersivas e ia na inclusão de pessoas atípicas no ambiente organizacional

Authors

DOI:

https://doi.org/10.18378/rebes.v14i3.10905

Abstract

The central theme of this study is the application of immersive technologies, such as virtual reality (VR) and augmented reality (AR), together with artificial intelligence (AI), to promote the inclusion of atypical people in the organizational environment. The aim is to explore how these technologies can be integrated into the human resources area to adapt training, integration processes and work environments to meet the specific needs of employees with different neurological profiles. The method used consists of a literature review of recent studies on the use of VR, AR and AI in organizational contexts, complemented by analyses of practical cases in companies that have implemented these technologies to promote inclusion. The results of the research indicate that the use of immersive technologies and AI can effectively facilitate the inclusion of atypical people, providing adapted training environments and personalized work experiences that respect the particularities of each employee. The practices observed reveal that these technologies not only help with the physical adaptation of workspaces, but also promote a more inclusive and innovative organizational culture. The conclusion is that the adoption of these technologies in human resources can be an effective strategy for transforming people management, creating more accessible and inclusive work environments, as long as it is accompanied by an ethical and human-centered approach.

Downloads

Download data is not yet available.

References

AJAY, K. et al. Enhancing Learning Processes through AR and VR: Applications in Corporate Training. Journal of Immersive Learning Technologies, v. 12, n. 3, p. 45-63, 2024.

ASLIHAN, S. AI in Organizational Culture: Transformative Hermeneutics in Cognitive Workplaces. International Journal of Organizational Studies, v. 15, n. 2, p. 123-141, 2024.

FADZILLAH, M. Immersive Readers and Teacher Training: Innovations in Special Education. Journal of Educational Technology, v. 10, n. 4, p. 87-102, 2024.

GABRIEL, R. et al. AI in Recruitment: Shaping Diverse and Inclusive Workforces. Human Resource. Management Review, v. 35, n. 1, p. 21-40, 2024.

GONÇALVES, L. A. Tecnologias Imersivas para o Desenvolvimento de Habilidades Sociais em Pessoas com TEA. São Paulo: Editora Perspectiva, 2014.

GUPTA, R. AI-Driven Talent Retention Strategies in Inclusive Workplaces. Global Human Resources Journal, v. 29, n. 5, p. 77-93, 2024.

INNA, K. et al. Immersive Approaches in Teacher Education: Preparing for Diverse Classrooms. Journal of Inclusive Pedagogy, v. 9, n. 2, p. 59-78, 2023.

JELENA, Z.; LABUS, M. Digital Workplaces: Fostering Diversity and Inclusion through Immersive Training. Journal of Digital Education and Technology, v. 8, n. 2, p. 95-112, 2024.

NAVARRO, C.; PULIDO‐MARTOS, M.; PÉREZ‐LOZANO, C. Monitoring Employee Engagement: AI Applications in Inclusive Workplaces. Journal of Workplace Psychology, v. 28, n. 3, p. 88-106, 2024.

PRATHIBA, S. Predictive AI in Talent Management: Enhancing Inclusion in the Workforce. Journal of Strategic HR, v. 19, n. 1, p. 44-62, 2024.

SALMAN, R.; NOURBAKHSH, I. et al. VR Training Scenarios for Museum Employees: Promoting Disability Awareness. Journal of Virtual Learning and Interaction, v. 11, n. 4, p. 101-118, 2024.

SHIKHALIEVA, Z. Building Inclusive Cultures with AI and AR: The Role of Emerging Technologies in Sustainable Organizations. Journal of Organizational Development, v. 17, n. 3, p. 65-82, 2024.

Published

2024-09-10 — Updated on 2024-09-12

Versions

How to Cite

Milan, D., Soares , T. de S., Antunes , E. S. C. e F., Alves, G. S., Lucena , J. B., Queiroga , M. M. de, Dantas , R. G., & Frimaio , F. de F. A. (2024). Inovação em recursos humanos: o uso de tecnologias imersivas e ia na inclusão de pessoas atípicas no ambiente organizacional. Revista Brasileira De Educação E Saúde, 14(3), 692–696. https://doi.org/10.18378/rebes.v14i3.10905 (Original work published September 10, 2024)

Issue

Section

ARTICLES

Most read articles by the same author(s)