DOI: 10.1145/3544548.3581400
Terbit pada 19 April 2023 Pada International Conference on Human Factors in Computing Systems

A Probabilistic Model and Metrics for Estimating Perceived Accessibility of Desktop Applications in Keystroke-Based Non-Visual Interactions

Syed Masum Billah Md. Touhidul Islam Donald E. Porter

Abstrak

Perceived accessibility of an application is a subjective measure of how well an individual with a particular disability, skills, and goals experiences the application via assistive technology. This paper first presents a study with 11 blind users to report how they perceive the accessibility of desktop applications while interacting via assistive technology such as screen readers and a keyboard. The study identifies the low navigational complexity of the user interface (UI) elements as the primary contributor to higher perceived accessibility of different applications. Informed by this study, we develop a probabilistic model that accounts for the number of user actions needed to navigate between any two arbitrary UI elements within an application. This model contributes to the area of computational interaction for non-visual interaction. Next, we derive three metrics from this model: complexity, coverage, and reachability, which reveal important statistical characteristics of an application indicative of its perceived accessibility. The proposed metrics are appropriate for comparing similar applications and can be fine-tuned for individual users to cater to their skills and goals. Finally, we present five use cases, demonstrating how blind users, application developers, and accessibility practitioners can benefit from our model and metrics.

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Accessibility, usability and user experience design for visually impaired people: a systematic mapping study

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The use of Information and Communication Technologies (ICTs) can be an important ally in improving the quality of life of Visually Impaired People (VIP) because they provide greater independence in the performance of their daily tasks. During the development process of ICTs for VIP, the concepts of Accessibility, Usability, and User eXperience (UX) are significant because they can positively influence the system's quality. Concerning these concepts, some improvements can be considered already at the design stage, such as screen size, button format, color density, among others. However, not all designers consider Accessibility, Usability, and UX concepts when designing ICT for VIP. To identify and characterize which design technologies of Accessibility, Usability, and UX have been proposed in the literature, we performed a Systematic Mapping Study (SMS). We identified a total of 23 technologies. The analysis from these technologies showed that the majority are destined for mobile applications. Besides, some design technologies only address the concept of Accessibility, and only one technology considered the concepts of Accessibility, Usability, and UX together. To support professionals, students, and researchers in Human-Computer Interaction (HCI) and Software Engineering (SE), this SMS presents a set of Accessibility, Usability, and UX design technologies, which can be used in the initial phases of the ICT development process for VIP.

Large-scale study of web accessibility metrics

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Evaluating the accessibility of web resources is usually done by checking the conformance of the resource against a standard or set of guidelines (e.g., the WCAG 2.1). The result of the evaluation will indicate what guidelines are respected (or not) by the resource. While it might hint at the accessibility level of web resources, often it will be complicated to compare the level of accessibility of different resources or of different versions of the same resource from evaluation reports. Web accessibility metrics synthesize the accessibility level of a web resource into a quantifiable value. The fact that there is a wide number of accessibility metrics, makes it challenging to choose which ones to use. In this paper, we explore the relationship between web accessibility metrics. For that purpose, we investigated eleven web accessibility metrics. The metrics were computed from automated accessibility evaluations obtained using QualWeb. A set of around three million web pages were evaluated. By computing the metrics over this sample of nearly three million web pages, it was possible to identify groups of metrics that offer similar results. Our analysis shows that there are metrics that behave similarly, which, when deciding what metrics to use, assists in picking the metric that is less resource intensive or for which it might be easier to collect the inputs.

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Navid Salehnamadi Ziyao He S. Malek

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Billions of people use smartphones on a daily basis, including 15% of the world’s population with disabilities. Mobile platforms encourage developers to manually assess their apps’ accessibility in the way disabled users interact with phones, i.e., through Assistive Technologies (AT) like screen readers. However, most developers only test their apps with touch gestures and do not have enough knowledge to use AT properly. Moreover, automated accessibility testing tools typically do not consider AT. This paper introduces a record-and-replay technique that records the developers’ touch interactions, replays the same actions with an AT, and generates a visualized report of various ways of interacting with the app using ATs. Empirical evaluation of this technique on real-world apps revealed that while user study is the most reliable way of assessing accessibility, our technique can aid developers in detecting complex accessibility issues at different stages of development.

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