Assistive Technology Design as a Computer Science Learning Experience

McHugh, Thomas Barlow; Barth, Cooper

doi:10.1145/3373625.3417081

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…There exists a large body of work that aims to understand how users with disabilities use their devices, and the potential accessibility issues that exist in current software applications [21,22,36,58,59,63,71,82,85,90]. Such studies tend to take two forms, user studies [21,58] and empirical analyses of software [36,90].…”

Section: Related Work 61 Accessibility Studies On Mobile Appsmentioning

confidence: 99%

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs

Krishna Vajjala,

Mansur,

Jose

et al. 2024

Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

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Recent research has begun to examine the potential of automatically finding and fixing accessibility issues that manifest in software. However, while recent work makes important progress, it has generally been skewed toward identifying issues that affect users with certain disabilities, such as those with visual or hearing impairments. However there are other groups of users with different types of disabilities that also need software tooling support to improve their experience. As such, this paper aims to automatically identify accessibility issues that affect users with motor-impairments.To move toward this goal, this paper introduces a novel approach, called MotorEase, capable of identifying accessibility issues in mobile app UIs that impact motor-impaired users. Motor-impaired users often have limited ability to interact with touch-based devices, and instead may make use of a switch or other assistive mechanismhence UIs must be designed to support both limited touch gestures and the use of assistive devices. MotorEase adapts computer vision and text processing techniques to enable a semantic understanding of app UI screens, enabling the detection of violations related to four popular, previously unexplored UI design guidelines that support motor-impaired users, including: (i) visual touch target size, (ii) expanding sections, (iii) persisting elements, and (iv) adjacent icon visual distance. We evaluate MotorEase on a newly derived benchmark, called MotorCheck, that contains 555 manually annotated examples of violations to the above accessibility guidelines, across 1599 screens collected from 70 applications via a mobile app testing tool. Our experiments illustrate that MotorEase is able to identify violations with an average accuracy of ≈90%, and a false positive rate of less than 9%, outperforming baseline techniques. CCS CONCEPTS• Software and its engineering → Software testing and debugging; Software design engineering.

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Section: Related Work 61 Accessibility Studies On Mobile Appsmentioning

confidence: 99%

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs

Krishna Vajjala,

Mansur,

Jose

et al. 2024

Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

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Engineering Accessible Software

Krishnavajjala,

Moran

2023

2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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Overview of ASSETS 2020

Nicolau

Moffatt

Guerreiro

2021

SIGACCESS Access. Comput.

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In October 2020 was the 22nd edition of the ACM SIGACCESS Conference on Computers and Accessibility(ASSETS 2020), which took place online. The ASSETS conference is the premier computing research conferenceexploring the design, evaluation, and use of computing and information technologies to benefi t people withdisabilities and older adults. This year, the ASSETS conference continued its tradition of presenting innovativeresearch on mainstream and specialized assistive technologies, accessible computing, and assistive applicationsof computer, network, and information technologies. We set a new attendance record with 395 attendees from29 countries from all continents across the globe. Our organization and program committees were open tonominations from the community. We had 50 people attending the conference with the support of theSIGACCESS Diversity and Inclusion Scholarships.

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Assistive Technology Design as a Computer Science Learning Experience

Cited by 4 publications

References 10 publications

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs

Engineering Accessible Software

Overview of ASSETS 2020

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