Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities

Eman Alofi; Manal Al-Shammrani; Omar Jamal Hammad

doi:10.1109/ICCE67443.2026.11449915

Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities

Eman Alofi^*
, Manal Al-Shammrani
, Omar Jamal Hammad

^*Corresponding author for this work

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

With the growing adoption of large language model (LLM) applications such as ChatGPT, new opportunities to enhance digital accessibility for individuals with disabilities have developed, ensuring that they too can benefit equally from the technological advancements. This study investigates how to adapt LLM applications to meet the diverse needs of individuals with disabilities. Through interviews with ten participants from a local support center, the research team collected valuable insights into their experiences, expectations, and the challenges they face with current tools. Participants with no prior experience using ChatGPT expressed enthusiasm after experiencing its potential and suggested integrating features that could better accommodate their needs. Based on the findings, this study presents a set of design recommendations aiming to guide the development of more accessible LLM interfaces for people with disabilities.

Original language	English
Title of host publication	2026 IEEE International Conference on Consumer Electronics, ICCE 2026
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331553432
DOIs	https://doi.org/10.1109/ICCE67443.2026.11449915
State	Published - 2026
Event	2026 IEEE International Conference on Consumer Electronics, ICCE 2026 - Dubai, United Arab Emirates Duration: 3 Feb 2026 → 5 Feb 2026

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)	0747-668X
ISSN (Electronic)	2159-1423

Conference

Conference	2026 IEEE International Conference on Consumer Electronics, ICCE 2026
Country/Territory	United Arab Emirates
City	Dubai
Period	3/02/26 → 5/02/26

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

Keywords

Accessibility
Assistive Technology
HCI
Human-Computer Interaction
Inclusion
LLMs
Large Language Models

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE67443.2026.11449915

Cite this

Alofi, E., Al-Shammrani, M., & Hammad, O. J. (2026). Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities. In 2026 IEEE International Conference on Consumer Electronics, ICCE 2026 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE67443.2026.11449915

Alofi, Eman ; Al-Shammrani, Manal ; Hammad, Omar Jamal. / Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities. 2026 IEEE International Conference on Consumer Electronics, ICCE 2026. Institute of Electrical and Electronics Engineers Inc., 2026. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

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title = "Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities",

abstract = "With the growing adoption of large language model (LLM) applications such as ChatGPT, new opportunities to enhance digital accessibility for individuals with disabilities have developed, ensuring that they too can benefit equally from the technological advancements. This study investigates how to adapt LLM applications to meet the diverse needs of individuals with disabilities. Through interviews with ten participants from a local support center, the research team collected valuable insights into their experiences, expectations, and the challenges they face with current tools. Participants with no prior experience using ChatGPT expressed enthusiasm after experiencing its potential and suggested integrating features that could better accommodate their needs. Based on the findings, this study presents a set of design recommendations aiming to guide the development of more accessible LLM interfaces for people with disabilities.",

keywords = "Accessibility, Assistive Technology, HCI, Human-Computer Interaction, Inclusion, LLMs, Large Language Models",

author = "Eman Alofi and Manal Al-Shammrani and Hammad, \{Omar Jamal\}",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 IEEE International Conference on Consumer Electronics, ICCE 2026 ; Conference date: 03-02-2026 Through 05-02-2026",

year = "2026",

doi = "10.1109/ICCE67443.2026.11449915",

language = "English",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2026 IEEE International Conference on Consumer Electronics, ICCE 2026",

address = "United States",

}

Alofi, E, Al-Shammrani, M & Hammad, OJ 2026, Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities. in 2026 IEEE International Conference on Consumer Electronics, ICCE 2026. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, Institute of Electrical and Electronics Engineers Inc., 2026 IEEE International Conference on Consumer Electronics, ICCE 2026, Dubai, United Arab Emirates, 3/02/26. https://doi.org/10.1109/ICCE67443.2026.11449915

Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities. / Alofi, Eman; Al-Shammrani, Manal; Hammad, Omar Jamal.
2026 IEEE International Conference on Consumer Electronics, ICCE 2026. Institute of Electrical and Electronics Engineers Inc., 2026. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - With the growing adoption of large language model (LLM) applications such as ChatGPT, new opportunities to enhance digital accessibility for individuals with disabilities have developed, ensuring that they too can benefit equally from the technological advancements. This study investigates how to adapt LLM applications to meet the diverse needs of individuals with disabilities. Through interviews with ten participants from a local support center, the research team collected valuable insights into their experiences, expectations, and the challenges they face with current tools. Participants with no prior experience using ChatGPT expressed enthusiasm after experiencing its potential and suggested integrating features that could better accommodate their needs. Based on the findings, this study presents a set of design recommendations aiming to guide the development of more accessible LLM interfaces for people with disabilities.

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KW - Assistive Technology

KW - HCI

KW - Human-Computer Interaction

KW - Inclusion

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AN - SCOPUS:105037383526

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Alofi E, Al-Shammrani M, Hammad OJ. Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities. In 2026 IEEE International Conference on Consumer Electronics, ICCE 2026. Institute of Electrical and Electronics Engineers Inc. 2026. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE67443.2026.11449915

Integrating Large Language Models (LLMs) with Assistive Technologies to Enhance Accessibility for People with Disabilities

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this