Space-Compacting Magnification Augmented with Natural Gestures and Keyboardless Text Entry for Low Vision Smartphone Interaction
Space-Compacting Magnification Augmented with Natural Gestures and Keyboardless Text Entry for Low Vision Smartphone Interaction
批准号:
9886627
负责人:
I.V. Ramakrishnan
金额:
$40.82万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2023-02-28
关键词:
AccelerometerAcuteAddressAffectAgeAlgorithmsAndroidAreaAwarenessCellular PhoneComplexControlled StudyCuesDependenceDevelopmentDevicesDisabled PersonsDisadvantagedElderlyElementsEmployment OpportunitiesEyeFingersFriendsGeneral PopulationGesturesHandIn SituInformation TechnologyLearningManualsMicroscopeMotionOutcomePlant RootsPopulationProductivityPsyche structureReaderResearchSelf-Help DevicesServicesSumSurfaceTaxesTechniquesTechnologyTelephoneTextTouch sensationTravelUse EffectivenessVisionVision DisordersVisualVisual impairmentbarometric pressurebasedisabilityexperiencefallsgraphical user interfacenext generationnoveloperationpreservationpressure sensorrecruitsensorsynergismusabilityvirtualvision aid
中文摘要
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英文摘要
Project Summary
For people with low-vision impairments, the smartphone has become inextricably tied to their daily lives just
like the general population. It is their go-to assistive device, relying on the smartphone’s built-in screen
magnifier - Zoom on the iPhone and Magnifier on Android - to interact with it. But the usability of these screen
magnifiers falls woefully short, adversely affecting productivity. First, the magnifier indiscriminately magnifies
the raw screen pixels, including whitespace, as a blanket operation, causing occlusion of important contextual
information such as visual cues from the user’s viewport. This necessitates panning over these occluded portions
and mentally reconstructing the contextual information necessary for interacting with the content elements.
Second, magnification gestures such as the bimanual multi-tap and multi-finger touch gestures tend to be more
complex than the basic 1-finger swipe. The complexity of these touch gestures makes them cumbersome and
tiring to use. Remembering the entire repertoire of gestures is also difficult. Since all these touch gestures involve
some subset of finger combinations, it is easy to mix up one for the other. Third, virtual keyboards, which takes
up significant screen real estate as-is, is difficult to use for text entry and editing in magnified view. Either the
entire screen area is magnified including the virtual keyboard or only the display area. In the former, some of the
keys are occluded from the view whereas in the latter the keys remain unmagnified. Regardless, key presses are
hard to do in either cases. In sum, all these usability issues contribute to a vastly disproportionate gap in user
experience and productivity between people with and without low-vision impairments.
This proposal seeks to develop the next generation screen magnifier that will bridge this wide gap in user
experience. It is rooted on three novel ideas. First, instead of indiscriminately magnifying the screen content as
is done now, it will do object-aware magnification by identifying the objects in the graphical interface and
compacting the space between the objects so as to keep contextually related objects close together in the
magnified view. Second, by leveraging the untapped built-in sensors such as accelerometer, geometric field and
barometric pressure sensors, it will expand the default surface gestures to include surfaceless natural
gestures for magnification operations that can be done with only one hand, thus freeing the other
hand for other tasks. More importantly, these gestures will be easy-to-do and easy-to-learn and recall. Third, it
will incorporate a novel keyboardless gesture-based text entry and editing technique to eliminate the
difficulties that arise with virtual keyboards for text entry in magnification mode. These three ideas will inform
the development of CxZoom, a transformative, next-generation smartphone screen reader for low vision.
CxZoom will make interaction with smartphones far more usable for people with low vision, thereby eliminating
any barriers to their productivity and empower them to utilize the power and connectivity of these devices to
fully participate in this digitized economy.
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Space-Compacting Magnification Augmented with Natural Gestures and Keyboardless Text Entry for Low Vision Smartphone Interaction
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批准号:10368141
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项目类别:
-
资助金额:$35.78万
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财政年份:2020
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负责人:I.V. Ramakrishnan
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依托单位:
Space-Compacting Magnification Augmented with Natural Gestures and Keyboardless Text Entry for Low Vision Smartphone Interaction
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批准号:10116401
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项目类别:
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资助金额:$36.39万
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财政年份:2020
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负责人:I.V. Ramakrishnan
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依托单位:
海外基金