IEEE Trans Vis Comput Graph - Attributes of Subtle Cues for Facilitating Visual Search in Augmented Reality.

Tópicos

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Resumo

Goal-oriented Visual Search is performed when a person intentionally seeks a target in the visual environment. In Augmented Reality (AR) environments, Visual Search can be facilitated by augmenting virtual cues in the person's field of view. Traditional use of explicit AR cues can potentially degrade Visual Search performance due to the creation of distortions in the scene. An alternative to explicit cueing, known as Subtle Cueing, has been proposed as a clutter-neutral method to enhance Visual Search in video-see-through AR. However, the effects of Subtle Cueing are still not well understood, and more research is required to determine the optimal methods of applying Subtle Cueing in AR. We performed two experiments to investigate the variables of scene clutter, subtle cue opacity, size and shape on Visual Search performance. We introduced a novel method of experimentally manipulating the scene clutter variable in a natural scene while controlling for other variables. The findings provide supporting evidence for the subtlety of the cue, and show that the clutter conditions of the scene can be used both as a global classifier as well as a local performance measure.

Resumo Limpo

goalori visual search perform person intent seek target visual environ augment realiti ar environ visual search can facilit augment virtual cue person field view tradit use explicit ar cue can potenti degrad visual search perform due creation distort scene altern explicit cue known subtl cue propos clutterneutr method enhanc visual search videoseethrough ar howev effect subtl cue still well understood research requir determin optim method appli subtl cue ar perform two experi investig variabl scene clutter subtl cue opac size shape visual search perform introduc novel method experiment manipul scene clutter variabl natur scene control variabl find provid support evid subtleti cue show clutter condit scene can use global classifi well local perform measur

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