Augmented Reality aims to enhance the real world with computer-generated information. AR technology is both attractive and promising. Current AR experiences depend on external elements to launch, such as markers, images, and location. For an AR experience to be more personalized, this research proposes a scheme to trigger AR experiences based on human needs. This approach should enable human needs to be captured, and analyze them to select the most suited experiences that fulfill or aids in fulfilling needs. The contribution of this paper includes (1) a study of current AR technologies and triggers, (2) an analysis of human needs into measurable elements, and (3) a description of a needs-based AR application process with a demonstration of the process guidelines. The research presents a proof of concept prototype of a restaurant that satisfies the subsistence need for hunger. The results show the effectiveness of the guidelines in detecting human needs and recommending AR experiences; however, producing correct predictions and recommendations requires a well-established dataset.
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