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Disambiguation Canvas: A Precise Selection Technique for Virtual Environments

Abstract : We present the disambiguation canvas, a technique developed for easy, accurate and fast selection of small objects and objects inside cluttered virtual environments. Disambiguation canvas rely on selection by progressive refinement, it uses a mobile device and consists of two steps. During the first, the user defines a subset of objects by means of the orientation sensors of the device and a volume casting pointing technique. The subsequent step consists of the disambiguation of the desired target among the previously defined subset of objects, and is accomplished using the mobile device touchscreen. By relying on the touchscreen for the last step, the user can disambiguate among hundreds of objects at once. User tests show that our technique performs faster than ray-casting for targets with approximately 0.53 degrees of angular size, and is also much more accurate for all the tested target sizes.
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Henrique G. Debarba, Jerônimo G. Grandi, Anderson Maciel, Luciana Nedel, Ronan Boulic. Disambiguation Canvas: A Precise Selection Technique for Virtual Environments. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. pp.388-405, ⟨10.1007/978-3-642-40477-1_24⟩. ⟨hal-01504897⟩



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