Enhanced UI Automator Viewer with improved Android accessibility evaluation features

Patil, Neha; Bhole, Dhananjay; Shete, Prasanna

doi:10.1109/icacdot.2016.7877733

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…It is also worth mentioning the existence of unofficial tools that are not integrated within the ANDROID SDK but can provide developers with additional insights into mobile app accessibility. One of the most popular tools in this category is ENHANCED UI AUTOMATOR VIEWER (Patil et al 2016): it extends the standard UI Automator in order to verify unlabeled UI elements and color contrast.…”

Section: Accessibility: State Of Practicementioning

confidence: 99%

The making of accessible Android applications: an empirical study on the state of the practice

et al. 2022

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Nowadays, mobile applications represent the principal means to enable human interaction. Being so pervasive, these applications should be made usable for all users: accessibility collects the guidelines that developers should follow to include features allowing users with disabilities (e.g., visual impairments) to better interact with an application. While research in this field is gaining interest, there is still a notable lack of knowledge on how developers practically deal with the problem: (i) whether they are aware and take accessibility guidelines into account when developing apps, (ii) which guidelines are harder for them to implement, and (iii) which tools they use to be supported in this task. To bridge the gap of knowledge on the state of the practice concerning the accessibility of mobile applications, we adopt a mixed-method research approach with a twofold goal. We aim to (i) verify how accessibility guidelines are implemented in mobile applications through a coding strategy and (ii) survey mobile developers on the issues and challenges of dealing with accessibility in practice. The key results of the study show that most accessibility guidelines are ignored when developing mobile apps. This behavior is mainly due to the lack of developers’ awareness of accessibility concerns and the lack of tools to support them during the development.

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Section: Accessibility: State Of Practicementioning

confidence: 99%

The making of accessible Android applications: an empirical study on the state of the practice

et al. 2022

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“…Existing approaches related to accessibility testing focus on checking syntactical attributes. Eler et al [5] and Patil et al [27] check for missing or wrong UI attributes in Android apps, such as missing alternative text attributes in images, or color attribute values below a certain threshold. Similar checks are also used in other tools such as Google's Accessibility Scanner [28], WAVE [29], and ASLint [30].…”

Section: 2%mentioning

confidence: 99%

Semantic Web Accessibility Testing via Hierarchical Visual Analysis

Bajammal

Mesbah

2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

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Web accessibility, the design of web apps to be usable by users with disabilities, impacts millions of people around the globe. Although accessibility has traditionally been a marginal afterthought that is often ignored in many software products, it is increasingly becoming a legal requirement that must be satisfied. While some web accessibility testing tools exist, most only perform rudimentary syntactical checks that do not assess the more important high-level semantic aspects that users with disabilities rely on. Accordingly, assessing web accessibility has largely remained a laborious manual process requiring human input. In this paper, we propose an approach, called AXERAY, that infers semantic groupings of various regions of a web page and their semantic roles. We evaluate our approach on 30 real-world websites and assess the accuracy of semantic inference as well as the ability to detect accessibility failures. The results show that AXERAY achieves, on average, an F-measure of 87% for inferring semantic groupings, and is able to detect accessibility failures with 85% accuracy.

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“…Moura et al [24] provided an API that automatically runs tests, analyzing whether the interfaces of an application conform to accessibility rules and offer tips for improving accessibility. Patil et al [25] presented a tool for evaluation of application accessibility in Android environment. According to the authors, the Enhanced UI Automator Viewer tool is the more powerful tool to inspect a UI component of mobile application and the color contrast feature.…”

Section: Related Workmentioning

confidence: 99%

Acc-MobileCheck: a Checklist for Usability and Accessibility Evaluation of Mobile Applications

Paiva

Batista²,

Zaina³

et al. 2020

CLEIej

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Mobile devices have gained more attention from the society that is using them increasingly for a variety of purposes. For complete insertion of the population in this constant digital evolution it is fundamental that mobile applications also offer access to different user profiles, regardless of their disabilities or limitations. Considering quality, productivity, and speed of application creation, there is a wide range of good development practices and evaluations. However, methods that involve usability and accessibility are still developing. The purpose of this article is to present the Acc-MobileCheck, which is a checklist of accessibility and usability for mobile devices apps, based on good software development practices and guided by Design Patterns. The Acc-MobileCheck, composed of 47 verification items, consists of questions that look for evidence of problems of comprehension, operation, perception, and adaptation in mobile apps. The evaluation method aims to address difficulties that can be faced by people with hearing, visual, intellectual, or mobility impairment. Five experts and three developers of mobile apps had evaluated the Acc-MobileCheck. The conclusive results show that the checklist is usable and includes essential issues for the evaluation of accessibility and usability. The data obtained allowed a restructuring of the evaluation method developed, and the positive comments about the checklist demonstrate its adequacy to attend the demand.

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Enhanced UI Automator Viewer with improved Android accessibility evaluation features

Cited by 12 publications

References 5 publications

The making of accessible Android applications: an empirical study on the state of the practice

The making of accessible Android applications: an empirical study on the state of the practice

Semantic Web Accessibility Testing via Hierarchical Visual Analysis

Acc-MobileCheck: a Checklist for Usability and Accessibility Evaluation of Mobile Applications

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