Natural Language Processing Enhancing Human-Computer Interaction for Disabled
Such as physical interaction, individuals with disabilities often encounter barriers when accessing and interacting with traditional computer interfaces. Navigating the digital interface poses challenges for those with disabilities. The necessity for innovative solutions is underscored by the main issue of limited accessibility to computer interfaces for individuals with disabilities. At present time, Human-Computer Interaction technology is most known in the tech industry. Which enables any individual to interact with system or computer. Here, Natural Language Processing plays a major component in the advancement of Human-Computer Interaction technology. This paper surveys recent methods, techniques like embedding, Word2Vec and technology to help in improvement of the Human-Computer Interaction. This work highlights the need of integration of advance Natural Language Processing like with Human-Computer Interaction for people with disabilities. This paper also proposes work on a hands-free device navigation system or application for differently abled peoples.
Authors
- Pallabi Guha Roy (ORCID: https://orcid.org/0009-0001-3163-1687)
- Shivam Tiwari (ORCID: https://orcid.org/0000-0002-0288-1951)
- Bharat Bhushan (ORCID: https://orcid.org/0000-0002-9345-4786)
- P. M. Rubesh Anand
Institutions
- Sharda University (IN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/icpids65698.2024.00041
- Citations
- 1
- Primary Topic
- Digital Accessibility for Disabilities
- Type
- article
- Field-Weighted Citation Impact
- 2.19