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Environment monitoring using multiple observation cameras is increasingly popular. Different techniques exist to visualize the incoming video streams, but only few evaluations are available to find the best suitable one for a given task and context. This article compares three techniques for browsing video feeds from cameras that are located around the user in an unstructured manner. The techniques allow mobile users to gain extra information about the surroundings, the objects and the actors in the environment by observing a site from different perspectives. The techniques relate local and remote cameras topologically, via a tunnel, or via bird's eye viewpoint. Their common goal is to enhance spatial awareness of the viewer, without relying on a model or previous knowledge of the environment. We introduce several factors of spatial awareness inherent to multi-camera systems, and present a comparative evaluation of the proposed techniques with respect to spatial understanding and workload.
In this paper, we report on four generations of display-sensor platforms for handheld augmented reality. The paper is organized as a compendium of requirements that guided the design and construction of each generation of the handheld platforms. The first generation, reported in [17]), was a result of various studies on ergonomics and human factors. Thereafter, each following iteration in the design-production process was guided by experiences and evaluations that resulted in new guidelines for future versions. We describe the evolution of hardware for handheld augmented reality, the requirements and guidelines that motivated its construction.