Situated Analytics
Journal of Visual Languages and Computing • 2016
معلومات البحث
المؤلفون
Neven ElSayed; Bruce Thomas; Kim Marriott; Julia Piantadosi,
; Ross Smith
الكلمات المفتاحية
Augmented Reality, Information visualization, Situated Analytics, Visual Analytics, Visualization, Shopping application
المجلة العلمية
Journal of Visual Languages and Computing
الناشر
Not Available
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world.
We present Situated Analytics, a novel combination of real-time interaction and visualization techniques
that allows exploration and analysis of information about objects in the user's physical environment.
Situated Analytics presents both situated and abstract summary and contextual information to a user. We
conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a
Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated
Analytics prototype over the manual method, and that tasks were performed more quickly and accurately
using the prototype.
We present Situated Analytics, a novel combination of real-time interaction and visualization techniques
that allows exploration and analysis of information about objects in the user's physical environment.
Situated Analytics presents both situated and abstract summary and contextual information to a user. We
conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a
Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated
Analytics prototype over the manual method, and that tasks were performed more quickly and accurately
using the prototype.
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