Search

Blind users interact with smartphone applications using a screen reader, an assistive technology that enables them to navigate and listen to application content using touch gestures. Since blind users rely on screen reader audio, interacting with online videos can be challenging due to the screen reader audio interfering with the video sounds. Existing solutions to address this interference problem are predominantly designed for desktop scenarios, where special keyboard or mouse actions are supported to facilitate 'silent' and direct access to various video controls such as play, pause, and progress bar. As these solutions are not transferable to smartphones, suitable alternatives are desired. In this regard, we explore the potential of motion gestures in smartphones as an effective and convenient method for blind screen reader users to interact with online videos. Specifically, we designed and developed YouTilt , an Android application that enables screen reader users to exploit an assortment of motion gestures to access and manipulate various video controls. We then conducted a user study with 10 blind participants to investigate whether blind users can leverage YouTilt to properly execute motion gestures for video-interaction tasks while simultaneously listening to video sounds. Analysis of the study data showed a significant improvement in usability by as much as 43.3% (avg.) with YouTilt compared to that with default screen reader, and overall a positive attitude and acceptance towards motion gesture-based video interaction.

Interacting with long web documents such as wiktionaries, manuals, tutorials, blogs, novels, etc., is easy for sighted users, as they can leverage convenient pointing devices such as a mouse/touchpad to quickly access the desired content either via scrolling with visual scanning or clicking hyperlinks in the available Table of Contents (TOC). Blind users on the other hand are unable to use these pointing devices, and therefore can only rely on keyboard-based screen reader assistive technology that lets them serially navigate and listen to the page content using keyboard shortcuts. As a consequence, interacting with long web documents with just screen readers, is often an arduous and tedious experience for the blind users. To bridge the usability divide between how sighted and blind users interact with web documents, in this paper, we present iTOC , a browser extension that automatically identifies and extracts TOC hyperlinks from the web documents, and then facilitates on-demand instant screen-reader access to the TOC from anywhere in the website. This way, blind users need not manually search for the desired content by moving the screen-reader focus sequentially all over the webpage; instead they can simply access the TOC from anywhere using iTOC, and then select the desired hyperlink which will automatically move the focus to the corresponding content in the document. A user study with 15 blind participants showed that with iTOC, both the access time and user effort (number of user input actions) were significantly lowered by as much as 42.73% and 57.9%, respectively, compared to that with another state-of-the-art solution for improving web usability.

Visual 'point-and-click' interaction artifacts such as mouse and touchpad are tangible input modalities, which are essential for sighted users to conveniently interact with computer applications. In contrast, blind users are unable to leverage these visual input modalities and are thus limited while interacting with computers using a sequentially narrating screen-reader assistive technology that is coupled to keyboards. As a consequence, blind users generally require significantly more time and effort to do even simple application tasks (e.g., applying a style to text in a word processor) using only keyboard, compared to their sighted peers who can effortlessly accomplish the same tasks using a point-and-click mouse. This paper explores the idea of repurposing visual input modalities for non-visual interaction so that blind users too can draw the benefits of simple and efficient access from these modalities. Specifically, with word processing applications as the representative case study, we designed and developed NVMouse as a concrete manifestation of this repurposing idea, in which the spatially distributed word-processor controls are mapped to a virtual hierarchical 'Feature Menu' that is easily traversable non-visually using simple scroll and click input actions. Furthermore, NVMouse enhances the efficiency of accessing frequently-used application commands by leveraging a data-driven prediction model that can determine what commands the user will most likely access next, given the current 'local' screen-reader context in the document. A user study with 14 blind participants comparing keyboard-based screen readers with NVMouse, showed that the latter significantly reduced both the task-completion times and user effort (i.e., number of user actions) for different word-processing activities.

People with low vision use screen magnifiers to interact with computers. They usually need to zoom and pan with the screen magnifier using predefined keyboard and mouse actions. When using office productivity applications (e.g., word processors and spreadsheet applications), the spatially distributed arrangement of UI elements makes interaction a challenging proposition for low vision users, as they can only view a fragment of the screen at any moment. They expend significant chunks of time panning back-and-forth between application ribbons containing various commands (e.g., formatting, design, review, references, etc.) and the main edit area containing user content. In this demo, we will demonstrate MagPro, an interface augmentation to office productivity tools, that not only reduces the interaction effort of low-vision screen-magnifier users by bringing the application commands as close as possible to the users' current focus in the edit area, but also lets them easily explore these commands using simple mouse actions. Moreover, MagPro automatically synchronizes the magnifier viewport with the keyboard cursor, so that users can always see what they are typing, without having to manually adjust the magnifier focus every time the keyboard cursor goes of screen during text entry.

People with visual impairments typically rely on screen-magnifier assistive technology to interact with webpages. As screen-magnifier users can only view a portion of the webpage content in an enlarged form at any given time, they have to endure an inconvenient and arduous process of repeatedly moving the magnifier focus back-and-forth over different portions of the webpage in order to make comparisons between data records, e.g., comparing the available fights in a travel website based on their prices, durations, etc. To address this issue, we designed and developed TableView, a browser extension that leverages a state-of-the art information extraction method to automatically identify and extract data records and their attributes in a webpage, and subsequently presents them to a user in a compactly arranged tabular format that needs significantly less screen space compared to that currently occupied by these items in the page. This way, TableView is able to pack more items within the magnifier focus, thereby reducing the overall content area for panning, and hence making it easy for screen-magnifier users to compare different items before making their selections. A user study with 16 low vision participants showed that with TableView, the time spent on panning the data records in webpages was significantly reduced by 72.9% (avg.) compared to that with just a screen magnifier, and 66.5% compared to that with a screen magnifier using a space compaction method.

Background: Recent studies have shown a potential role of RNA-binding proteins (RBPs) in a variety of biological pathways, including cancer progression, whilst their expression in various tumor types may be associated with patient prognosis. However, the role of the RBP family members has not been explored in colon cancer and their possible use as prognostic biomarkers is largely unknown., Materials and Methods: To determine the prognostic role of three RBP genes: insulin-like growth factor-binding protein 2 (IGFBP2), RNA-binding motif protein 3 (RBM3), and cold-inducible RNA-binding protein (CIRP) in colon cancer., Results: We examined the RNA expression of IGFBP2, RBM3, and CIRP in 94 human colon cancer samples along with matched normal tissue samples from each patient using quantitative real-time polymerase chain reaction (qRT-PCR). No significant associations were observed between RNA expression of RBPs and the studied clinical features. The estimated 5-year disease-free survival rate was significantly better for patients with higher expression of RBM3 and CIRP, while patient survival was not significantly correlated to IGFBP2 expression., Conclusion: RBM3 and CIRP may be useful prognostic biomarkers of colon cancer., (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)