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Towards Pervasive Augmented Reality: Context-Awareness in Augmented Reality.

Jens Grubert, Tobias Langlotz, Stefanie Zollmann

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    Pervasive Augmented Reality (AR) aims to create continuous, multi-purpose user experiences by sensing context and adapting systems. This research introduces a taxonomy and survey to guide future development in context-aware AR.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Ubiquitous Computing

    Background:

    • Augmented Reality (AR) enables digital information overlay onto the physical environment.
    • AR applications are transitioning from sporadic, single-task use to continuous, multi-purpose experiences.

    Purpose of the Study:

    • To introduce the concept of Pervasive Augmented Reality (PAR).
    • To provide a continuous and multi-purpose AR user experience by sensing user context and adapting the AR system accordingly.
    • To establish a taxonomy for PAR and context-aware AR.

    Main Methods:

    • Developed a taxonomy classifying context sources and targets for context-aware AR.
    • Conducted a survey of existing approaches contributing to PAR.
    • Identified future research challenges based on the taxonomy and survey.

    Main Results:

    • Presented a novel taxonomy for Pervasive Augmented Reality and context-aware AR.
    • Summarized current research and approaches relevant to PAR.
    • Highlighted key challenges and future research directions in the field.

    Conclusions:

    • Pervasive Augmented Reality requires context-sensing and adaptive systems for continuous, multi-purpose user experiences.
    • The proposed taxonomy and survey provide a framework for understanding and advancing context-aware AR.
    • Further research is needed to address identified challenges in implementing PAR.