ProcessAR: An augmented reality-based tool to create in-situ procedural 2D/3D AR Instructions Inproceedings

Subramanian Chidambaram, Hank Huang, Fengming He, Xun Qian, Ana M Villanueva, Thomas S Redick, Wolfgang Stuerzlinger, Karthik Ramani

Abstract:

Augmented reality (AR) is an efficient form of delivering spatial information and has great potential for training workers. However, AR is still not widely used due to the technical skills, expertise, required to develop appropriate and interactive AR content. We developed ProcessAR, an AR-based system to develop 2D/3D content by capturing subject matter expert (SME) environment-object interactions, in situ. To enable smooth workflows, ProcessAR locates and identifies different tools/objects in the workspace where the author looks at them, by utilizing a computer vision algorithm. We explored additional features such as embedding 2D videos to detected objects and user-adaptive triggers. The design space for ProcessAR was identified from formative interviews with AR programming experts and SMEs, alongside a comparative design study with SMEs and novice users. A final user evaluation comparing ProcessAR and a baseline AR authoring environment studied, users rated ProcessAR as the better form on qualitative perceptional surveys.

Date of publication: Jun - 2021
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