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An interactive 3D movement path manipulation method in an augmented reality environment
Ha, T.,Billinghurst, M.,Woo, W. Butterworths ; Elsevier Science Ltd 2012 INTERACTING WITH COMPUTERS Vol.24 No.1
In this paper, we evaluate a path editing method using a tangible user interface to generate and manipulate the movement path of a 3D object in an Augmented Reality (AR) scene. To generate the movement path, each translation point of a real 3D manipulation prop is examined to determine which point should be used as a control point for the path. Interpolation using splines is then used to reconstruct the path with a smooth line. A dynamic score-based selection method is also used to effectively select small and dense control points of the path. In an experimental evaluation, our method took the same time and generated a similar amount of errors as a more traditional approach, however the number of control points needed was significantly reduced. For control manipulation, the task completion time was quicker and there was less hand movement needed. Our method can be applied to drawing or curve editing methods in AR educational, gaming, and simulation applications.
( Seungwon Kim ),( Mark Billinghurst ),( Chilwoo Lee ),( Gun Lee ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.12
This paper describes two user studies in remote collaboration between two users with a video conferencing system where a remote user can draw annotations on the live video of the local user’s workspace. In these two studies, the local user had the control of the view when sharing the first-person view, but our interfaces provided instant control of the shared view to the remote users. The first study investigates methods for assisting drawing annotations. The auto-freeze method, a novel solution for drawing annotations, is compared to a prior solution (manual freeze method) and a baseline (non-freeze) condition. Results show that both local and remote users preferred the auto-freeze method, which is easy to use and allows users to quickly draw annotations. The manual-freeze method supported precise drawing, but was less preferred because of the need for manual input. The second study explores visual notification for better local user awareness. We propose two designs: the red-box and both-freeze notifications, and compare these to the baseline, no notification condition. Users preferred the less obtrusive red-box notification that improved awareness of when annotations were made by remote users, and had a significantly lower level of interruption compared to the both-freeze condition.