ATI-driven SAR Remote Collaboration Platform for Manufacturing in a Training Task

Abstract

Abstract Global events such as pandemics and wars have prompted many individuals to reassess the significance of remote collaboration for training, providing assistance, maintenance, and education. While video conferencing has gained popularity, numerous opportunities still exist for more sophisticated methods of Augmented Reality (AR) remote interaction. Hand-drawn AR sketches/annotations (AAS) are commonly used for expressing visual instructions. However, these freehand drawings are not enough to communicate the specific instructions required for industrial applications. Therefore, oral communication always serves as a critical supplement for addressing misinterpretations and language barriers. In such cases, our work is dedicated to sharing clear instructions based on AAS by the adaptive transformation of instructions (ATI) method. As a result, we present a Spatial AR(SAR) remote collaborative platform that can support converting AAS into standard symbols which provides clear guidance and has been widely accepted by the public. We conduct a formal user study to evaluate the prototype platform concerning performance time, general collaborative experience, usability based on ranking, and users’ preferences. The results indicated that ATI-based cues have a positive rule on remote collaborative training tasks in terms of user experience. More significantly, our work provides valuable implications on the way for further study of gesture-based interaction in AR remote collaboration on training tasks.