Advancements in AI-Based Voice Assistants: Enhancing Accessibility and User Interaction

Artificial Intelligence (AI)-based voice assistants have become a transformative force in human-computer interaction,significantly reshaping how individuals engage with digital devices and services. These intelligent systems, including popularexamples like Siri, Alexa, and Google Assistant, leverage natural language processing (NLP), machine learning (ML), and speechrecognition technologies to understand, interpret, and respond to voice commands. This paper explores the recent advancementsin AI-based voice assistants, focusing on their contributions to enhancing accessibility for individuals with disabilities, facilitatinginclusive communication, and improving overall user interaction across various sectors. By examining the technologicalfoundations, real-world applications, and challenges of voice assistants, the paper highlights their potential to create moreintuitive, personalized, and universally accessible digital experiences. It also delves into ethical concerns such as data privacy,bias in voice recognition, and the need for equitable access to these technologies. Through an in-depth analysis, this studyemphasizes the growing role of AI voice assistants in shaping a more connected and accessible digital future.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15334147
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancements in AI-Based Voice Assistants: Enhancing Accessibility and User Interaction

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

Advancements in AI-Based Voice Assistants: Enhancing Accessibility and User Interaction

article en

Abstract

Artificial Intelligence (AI)-based voice assistants have become a transformative force in human-computer interaction,significantly reshaping how individuals engage with digital devices and services. These intelligent systems, including popularexamples like Siri, Alexa, and Google Assistant, leverage natural language processing (NLP), machine learning (ML), and speechrecognition technologies to understand, interpret, and respond to voice commands. This paper explores the recent advancementsin AI-based voice assistants, focusing on their contributions to enhancing accessibility for individuals with disabilities, facilitatinginclusive communication, and improving overall user interaction across various sectors. By examining the technologicalfoundations, real-world applications, and challenges of voice assistants, the paper highlights their potential to create moreintuitive, personalized, and universally accessible digital experiences. It also delves into ethical concerns such as data privacy,bias in voice recognition, and the need for equitable access to these technologies. Through an in-depth analysis, this studyemphasizes the growing role of AI voice assistants in shaping a more connected and accessible digital future.

Zenodo (CERN European Organization for Nuclear Research)
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AI in Service Interactions
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