Context Understanding Technology to improve internet accessibility for users with
Context Understanding Technology to improve internet accessibility for users with
批准号:
8459121
负责人:
PHILIP R SCHAEFER
金额:
$37.19万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-01 至 2015-07-31
关键词:
AdvertisementsAreaArizonaArtificial IntelligenceBoxingCharacteristicsColorComputer softwareComputersCuesEffectivenessEmploymentEvaluationEvaluation StudiesFeedbackFrustrationGenerationsGovernmentGroupingHome environmentIndividualInterest GroupInternetLiteratureMarketingMotivationMusOutputPersonsPhasePopulationProcessQuality of lifeReaderReadingResearchScanningSmall Business Innovation Research GrantSoftware ToolsSpeechSystemTechnologyTextTimeTrainingVisionVisualVisual impairmentVisually Impaired Personsbaseblindcommercializationdisabilityexperienceimprovedinterestnatural languagephrasespreferenceprototypepublic health relevanceresearch and developmenttechnology developmenttoolusabilityweb pageweb site
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): The purpose of this SBIR project is to develop a new tool to improve the ability of blind and visually impaired people to quickly get to the right web pages, to avoid ending up on the wrong web pages, and to reach the desired part of each web page efficiently. The motivation for this effort is that getting a 'big picture' understanding of a
web page is one of the biggest challenges facing this population of computer users. Existing tools for blind and visually impaired people, such as screen readers and screen magnifiers, present the entire web page serially, in full detail, either by textual output of the details, or b providing a magnified view of a small part of the page. However, if the user is not already familiar with the website, the resulting lack of context requires a laborious and time-consuming process to scan through sometimes hundreds of details before knowing whether anything of interest even exists on the page in question. In contrast, the proposed technology analyzes web pages in a similar way that sighted users quickly scan pages before reading in detail, to provide a succinct, informative guidance on the context and layout of the page, so that a user quickly gains a much richer "big-picture" understanding. The proposed Phase II project builds on a successful Phase I user evaluation of a proof- of-concept of the software, in which users expressed a strong preference for the contextual cues provided by the approach. Phase II includes creating a fully-functional prototype of the software tool. Throughout the technology development, feedback from users and practitioners will guide the path of the R&D for maximum usability. At the conclusion of Phase II, an end-user, in-home evaluation study will verify the effectiveness of the tool, providing the starting point for full-scale commercialization.
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