Almost half the population over 65 experience a change in their vision, hearing and/or cognitive ability. It’s likely that everyone will experience a need for digital accessibility in their lifetime. Some people cannot use a mouse, including many older users with limited fine motor control. An accessible website does not rely on the mouse; it makes all functionality available from a keyboard. Then people with disabilities can use assistive technologies that mimic the keyboard, such as speech input.
- Acosta-Vargas et al. (2022) emphasized the importance of inclusive data collection processes, acknowledging the varying challenges faced by participants of different types and prominence of disabilities.
- Figure 4 depicts the distribution of the selected articles by the database source.
- The guidance, resources, and community you find here will help you deliver accessible digital products and services in the federal government.
- A total of 41 articles were identified in Scopus, followed by one article each from ScienceDirect and ACM Digital databases.
- Karyono et al. (2020) drew attention to the deficiency of a dependable predictive lighting model for visually impaired and elderly individuals, the scarcity of implementation of lighting standards, and potential barriers such as system cost and insufficient awareness.
It ensures that everyone, regardless of their abilities or disabilities, has equal access to digital content and services, and is an essential factor of an organization that provides digital content or services. Digital accessibility, as defined by the Web Accessibility Initiative (WAI), implies that people with disabilities should be able to access, navigate, perceive, and interact with content Initiative (WAI), 2022. Digital accessibility refers to the practice of designing digital systems and services in a manner that makes them accessible to all individuals, including those with disabilities (Sharma et al., 2020). This includes ensuring that websites, software, and other digital products can be used by people with visual, auditory, motor, or cognitive impairments. Therefore, it is important to ensure that everyone, regardless of their ability, can access and use digital products without facing barriers or discrimination. If this is not done, it may result in people with disabilities being excluded from opportunities, diminishing their degree of independence.
Additionally, addressing the adaptability and accessibility of Open Educational Resources (OER), the need for new metadata aligned with Universal Design for Learning guidelines is highlighted (Ingavelez-Guerra et al., 2022). Cimolino et al. (2021) explored the improvement in game accessibility by utilizing multiple frameworks, including universal design, player balancing, and interface adaptation. Within this context, universal design focuses on the creation of products and environments that cater to a broad spectrum of individuals irrespective of their abilities. Karyono et al. (2020) drew attention to the deficiency of a dependable predictive lighting model for visually impaired and elderly individuals, the scarcity of implementation of lighting standards, and potential barriers such as system cost and insufficient awareness. Similarly, Jayawardena et al. (2019) emphasized the challenges in enhancing the lives of visually impaired children, including the dearth of research studies, limited resources and funding, and the requirement for user-friendly, affordable systems in developing countries. System complexity and lack of user friendliness can create difficulties for people with various disabilities, hindering their ability to use and benefit from technology.
This framework emphasizes the co-creation of value through interactions between people with disabilities and VA technology within their home environments. Lucibello and Rotondi (2019), Saha et al. (2019), and Watters et al. (2020) aimed to improve the lives of both blind and visually impaired individuals. Lucibello and Rotondi (2019) focused on supporting blind athletes in the track and field, promoting independent running, and enhancing spatial awareness through the learning of echolocation skills. Saha et al. (2019) has created a system that provides near-real-time information about the surroundings through a smartphone camera, enhancing the mobility skills of people with visual impairments. Finally, Watters et al. (2020) aimed to provide visually impaired students with a virtual assistant in the laboratory that could be controlled through natural language, eliminating the need for specific keywords or phrases.
Adopting an intersectional approach, the Telecommunication Development Bureau’s ICT/digital accessibility work encompasses key activities, events, tools, and resources to strengthen capacities and enhance inclusive communication, building a prosperous digital future for all. Digital accessibility means making websites, social media, mobile apps, and electronic documents easy for everyone to use, including those users who have visual, auditory, motor or cognitive disabilities. In this article, we’ll explore why digital accessibility is vitally important and how to implement it effectively. Duarte et al. (2021) worked to enhance the accessibility of social media content, particularly benefiting people with visual impairments. In addition, Thomas and Meehan (2021) introduced a mobile banknote recognition application and Wadhwa et al. (2021) improved environmental understanding by offering braille-readable captions for digital images. In the domain of safety, Abdusalomov et al. (2022) utilized AI-based fire detection and classification methods to monitor and forecast fire-related scenarios, thereby providing early warnings that are specifically tailored to the needs of blind and visually impaired individuals.
As our lives become ever more digital, equality and equity also hinge on digital inclusion. Today, accessibility is the gateway to education, healthcare, employment, communication, and much more. The following four principles of web accessibility under the WCAG are known by the acronym POUR and are the foundations for accessible web content. There are also transcription services that create text transcripts in HTML format.
The most common challenges encountered were related to data, technical difficulties, security and privacy concerns, and operational difficulties. The findings reveal a prevalent focus on AI-driven digital accessibility for people with visual impairments, indicating a substantial gap in addressing other disabilities. This research underscores the imperative need to realign efforts toward a more comprehensive examination of disabilities, urging researchers to broaden their scope and enhance data collection efforts involving people with various disabilities.
Working With Data
Furthermore, it utilized long short-term memory neural networks (LSTM NNs) from the Tesseract OCR library for text recognition. Natural language processing (NLP) has also been applied to aid in describing images using nearby text. Li et al. (2022) introduced a visual-tactile fusion classification model, a multimodal deep learning approach that combined visual and tactile information for improved object classification. Cimolino et al. (2021) applied AI techniques utilizing the Unity game engine along with the Behavior Designer plugin.
Itu And The Un Disability Agenda
Beyond compliance, there are real benefits to prioritizing digital accessibility. An accessible environment can increase satisfaction and retention among people who feel seen and respected. Additionally, accessible designs improve the user experience for everyone, leading to increased productivity and efficiency.
And people whose disabilities affect their ability to grasp and use a mouse may use voice recognition software to control their computers and other devices with verbal commands. Many social media platforms have features to make your content accessible using assistive technologies. Since each platform’s features are different, you’ll need to be familiar with the platform you use. But assistive technologies that help people navigate the web can only work if we build accessible content. To build accessible content, we need to thoughtfully choose our language, color scheme, layout, and structure.
This team turns customer needs into secure, scalable identity solutions that drive innovation across industries and experiences. From youtube.com integrations to insights, this team drives efficiency, innovation, and scalability across the business. Protects Okta’s people, products, and customers by staying always on and always secure. This team anticipates threats, fortifies systems, and helps make trust a daily reality. Working with these stakeholders, we can develop practical ways to build accessibility into digital technologies from the start. A website should be completely accessible via keyboard using tabs to move between sections to menus, across form fields and links and to other content areas in a predictable, logical manner.
Including All Users
To our knowledge, no systematic review has comprehensively outlined these research findings, while providing a profound analysis of the research and practice related to the topic of digital accessibility, with a specific focus on AI applications for people with disabilities. However, despite these valuable efforts, no comprehensive systematic review has yet extensively examined the intersection of digital accessibility and AI applications within the existing literature. This study seeks to address this gap by providing an extensive analysis of this field, revealing potential benefits, challenges, and opportunities.
Digital accessibility is the ability of a website, social media, mobile application or electronic document to be easily navigated and understood by a wide range of users, including those users who have visual, auditory, motor or cognitive disabilities. Investing time in digital accessibility benefits your organization by fostering inclusivity, complying with legal and ethical standards, and enhancing outcomes. As you embark on the journey to improve digital accessibility, remember that it’s not just about meeting regulations; it’s about creating an environment where everyone can thrive and contribute their best. The challenges faced by Teófilo et al. (2018) include technical setup issues affecting user experience, accuracy of captioning for users with hearing impairments, and usability factors such as head and eye strain, brightness, and device weight.
However, it is important to monitor the use of AI in finance to ensure that it does not perpetuate discrimination against people with disabilities or other marginalized groups. Overall, although AI has the potential to improve accessibility and inclusion, it is important to approach its development and implementation with caution and focus on inclusivity. Various studies have employed machine learning techniques to address accessibility challenges.
The system developed by Kose and Vasant (2020) employs various AI techniques, including optimization-based AI techniques, such as the Dijkstra algorithm, ant colony optimization, intelligent water drop algorithm, and speech recognition interface. In a study by Lin et al. (2019), machine learning and deep learning techniques, particularly neural networks, were harnessed for image recognition using YOLOv3, a real-time image recognition model, for object recognition and notification. In addition, chatbot technology was implemented using the LINE platform, demonstrating the integration of AI methodologies in both image recognition and chatbot development. Alashkar et al. (2020) employed a modern Convolutional Neural Network (CNN) named Mini Xception for facial features recognition, utilized the K-Nearest Neighbors (K-NN) algorithm for color recognition, and provided sound feedback using the IBM Watson Text to Speech API. These studies demonstrated the potential of combining deep learning with other techniques to develop more robust and adaptive systems that cater to diverse user requirements.
This section encompasses an array of innovative applications that cater to people with other disabilities. Third, Guo et al. (2021) presented a virtual human social system that empowered individuals with facial disabilities, deafmutes, and autism to engage in face-to-face video communication. Furthermore, Lu et al. (2020) aimed to aid people with disabilities in operating tractors, ensuring safe operation when consciousness and limb movements are inconsistent, whereas Lin et al. (2019) focused on providing wheelchair-accessible bus rides for people with disabilities. Park et al. (2021) proposed an online infrastructure to enable large-scale remote data contributions from disability communities to create inclusive AI systems. Zingoni et al. (2021) primarily employed machine learning techniques, starting with supervised ML algorithms with a potential transition to deep learning methods for more complex data processing.
These articles were subjected to quality assessment, and 42 articles were retained for the final analysis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Vision Australia acknowledges Aboriginal and Torres Strait Islander people as the traditional custodians of the land on which we operate.