Rohs and Oulasvirta (2008) proposed a two-component Fitts ’ law model for target acquisition with magic lenses in mobile augmented reality (AR) with 1) a physical pointing phase, in which the target can be directly observed on the background surface, and 2) a virtual pointing phase, in which the target can only be observed through the device display. The model provides a good fit (R 2 =0.88) with laboratory data, but it is not known if it generalizes to realworld AR tasks. In the present outdoor study, subjects (N=12) did building-selection tasks in an urban area. The differences in task characteristics to the laboratory study are drastic: targets are three-dimensional and they vary in shape, size, z-distance, and visual context. Nevertheless, the model yielded an R 2 of 0.80, and when using effective target width an R 2 of 0.88 was achieved. Author Keywords Target acquisition, magic lens pointing, Fitts ’ law, humanperformanc
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