Automated Methods for Webpage Usability &amp;amp; Accessibility Evaluations

Okada, Hidehiko; Fujioka, Ryosuke

doi:10.5772/5920

Cited by 4 publications

(3 citation statements)

References 12 publications

(7 reference statements)

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“…Regarding the automation of usability tests, several previous projects can be identified. For example, automated testing of usability and accessibility of web pages has been proposed by Okada et al [14]. Here, the proposed system collects logs from users' interaction with the SUT.…”

Section: Introductionmentioning

confidence: 99%

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Bureš

Macík

Ahmed

et al. 2020

IEEE Trans. Consumer Electron.

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As the popularity of Smart Televisions (TVs) and interactive Smart TV applications (apps) has recently grown, the usability of these apps has become an important quality characteristic. Previous studies examined Smart TV apps from a usability perspective. However, these methods are mainly manual, and the potential of automated model-based testing methods for usability testing purposes has not yet been fully explored. In this paper, we propose an approach to test the usability of Smart TV apps based on the automated generation of a Smart TV user interaction model from an existing app by a specialized automated crawler. By means of this model, defined user tasks in the Smart TV app can be evaluated automatically in terms of their feasibility and estimated user effort, which reflects the usability of the analyzed app. This analysis can be applied in the context of regular users and users with various specific needs. The findings from this model-based automated analysis approach can be used to optimize the user interface of a Smart TV app to increase its usability, accessibility, and quality.

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Section: Introductionmentioning

confidence: 99%

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Bureš

Macík

Ahmed

et al. 2020

IEEE Trans. Consumer Electron.

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show abstract

“…In a similar line of work, Okada and Fujioka proposed a method to detect usability problems from mouse traces (unnecessary and missed operations), by automatically comparing user logs with optimal logs of clicked points, gathered from tasks performed in an optimal way (Okada & Fujioka 2008). The authors report that the method can find 61% of the problems found manually in a much shorter time.…”

Section: Logs Analysis and Visualization Methodsmentioning

confidence: 99%

Automatic detection of usability smells in web applications

Grigera

Garrido

Rivero

et al. 2017

International Journal of Human-Computer Studies

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Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be identified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications.

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“…Some approaches in the literature automate the gathering of data from users [4,5] but not the analysis, which still depends on usability experts. Other approaches automate part of the analysis by comparing users behavior to optimal behavior paths [6,7], but this requires prior preparation and subjects to conduct the experiments. There are also commercial tools like CrazyEgg 1 or ClickTale 2 that offer statistical data to their customers by analyzing interaction data from real users instead of tests subjects.…”

Section: Introductionmentioning

confidence: 99%

A Tool for Detecting Bad Usability Smells in an Automatic Way

Grigera

Garrido

Rivero

2014

Lecture Notes in Computer Science

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The refactoring technique helps developers to improve not only source code quality, but also other aspects like usability. The problems refactoring helps to solve in the specific field of web usability are considered to be issues that make common tasks complicated for end users. Finding such problems, known in the jargon as bad smells, is often challenging for developers, especially for those who do not have experience in usability. In an attempt to leverage this task, we introduce a tool that automatically finds bad usability smells in web applications. Since bad smells are catalogued in the literature together with their suggested refactorings, it is easier for developers to find appropriate solutions.

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Automated Methods for Webpage Usability & Accessibility Evaluations

Cited by 4 publications

References 12 publications

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach

Automatic detection of usability smells in web applications

A Tool for Detecting Bad Usability Smells in an Automatic Way

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