Web accessibility for low bandwidth input

Mankoff, Jennifer; Dey, Anind K.; Batra, Udit; Moore, Michael S.

doi:10.1145/638249.638255

Cited by 41 publications

(30 citation statements)

References 28 publications

(34 reference statements)

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“…For example, Mankoff et al [19] created a system that automatically modifies web pages for the needs of users with severely restricted motor capabilities. Meanwhile, Input Adapter Tool [4] offers the possibility of modifying user interfaces of any application written in Java Swing to improve the accessibility for users with motor impairments.…”

Section: Related Workmentioning

confidence: 99%

Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

Gajos

Wobbrock

Weld

2008

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

148

102

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We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE, adapts to users' capabilities indirectly by first using the ARNAULD preference elicitation engine to model a user's preferences regarding how he or she likes the interfaces to be created. The second system, SUPPLE++, models a user's motor abilities directly from a set of one-time motor performance tests. In a study comparing these approaches to baseline interfaces, participants with motor impairments were 26.4% faster using ability-based user interfaces generated by SUPPLE++. They also made 73% fewer errors, strongly preferred those interfaces to the manufacturers' defaults, and found them more efficient, easier to use, and much less physically tiring. These findings indicate that rather than requiring some users with motor impairments to adapt themselves to software using separate assistive technologies, software can now adapt itself to the capabilities of its users.

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Section: Related Workmentioning

confidence: 99%

Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

Gajos

Wobbrock

Weld

2008

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

148

102

View full text Add to dashboard Cite

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“…Typically these tools focus on adapting an application to a specific input device (such as a PDA [5,1], or switch [4]), output device (such as audio [2]), or application (such as a web browser [4,1]). IAT builds on this past work, but is designed to generalize across both applications and input devices.…”

Section: Discussionmentioning

confidence: 99%

“…Several systems have explored transforming Web site interfaces designed for desktop machines to be more appropriate for PDA interfaces (see [4] for a summary of this work). For example the Power Browser system [1] supports Web page access from a cellphone or Personal Digital Assistant (PDA).…”

Section: Output Adaptationmentioning

confidence: 99%

“…The clients render the application using interactors that are customized for its input (and output) devices. In earlier work, we developed web browsing support for people with limited input capabilities [4]. Our solution was general with respect to web browser and pages, but could not support other types of applications or input devices.…”

Section: Input Adaptationmentioning

confidence: 99%

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Dynamically adapting GUIs to diverse input devices

Carter

Hurst

Mankoff

et al. 2006

Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility

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Much past effort has investigated how to adapt a user interface to a different output device or modality. Far less attention has focused on the adaptations needed to handle a different input device or modality. We present a tool for automatically modifying a graphical user interface to enable or improve the use of a variety of input devices for which the interface was not designed. This can allow someone with a disability or in a unique environment to use existing applications that were previously inaccessible.

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“…Due to its advance over the last few decades, Internet has caused a profound effect on people's lives, becoming a global means of daily communication. However, web browsers are designed for healthy users, intended to be used with a keyboard and a mouse, but not with a small number of input signals [7]. Therefore, it seems suitable to make the Internet accessible for those whose ability to communicate is restricted, in order to increase their autonomy, and thus their quality of life.…”

Section: Introductionmentioning

confidence: 99%

An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People

Martínez-Cagigal

Gómez‐Pilar

Álvarez

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-This paper presents an electroencephalographic (EEG) P300-based brain-computer interface (BCI) Internet browser. The system uses the "odd-ball" row-col paradigm for generating the P300 evoked potentials on the scalp of the user, which are immediately processed and translated into web browser commands. There were previous approaches for controlling a BCI web browser. However, to the best of our knowledge, none of them was focused on an assistive context, failing to test their applications with a suitable number of end users. In addition, all of them were synchronous applications, where it was necessary to introduce a "read-mode" command in order to avoid a continuous command selection. Thus, the aim of this study is twofold: (i) to test our web browser with a population of multiple sclerosis (MS) patients in order to assess the usefulness of our proposal to meet their daily communication needs; and (ii) to overcome the aforementioned limitation by adding a threshold that discerns between control and non-control states, allowing the user to calmly read the web page without undesirable selections. The browser was tested with sixteen MS patients and five healthy volunteers. Both quantitative and qualitative metrics were obtained. MS participants reached an average accuracy of 84.14%, whereas 95.75% was achieved by control subjects. Results show that MS patients can successfully control the BCI web browser, improving their personal autonomy.Index Terms-Brain-computer interfaces, P300 event-related potentials, electroencephalography, web browser, multiple sclerosis, asynchronous control.

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Web accessibility for low bandwidth input

Cited by 41 publications

References 28 publications

Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

Dynamically adapting GUIs to diverse input devices

An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People

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