AR Guidance Design for Line Tracing Speed Control

Abstract

In many jobs, workers execute precise line tracing tasks; welding, spray painting, or chiseling, for example. Training and support for such tasks can be done using VR and AR. However, to enable workers to achieve the required precision in movement and timing, the effect of visual guidance on continuous movement needs to be explored. In VR environments, we want to ensure people are trained so that the obtained skill is transferable to a real-world context, whereas, in AR, we want to ensure an ongoing task can be completed successfully when adding visual guidance. To simulate these various contexts, we employ a VR environment to investigate the effectiveness of different visualizations for motion-based guidance in a line tracing task. We tested five different visualizations, including faster and slower arrows on the pen, the same arrows on the line, a dynamic graph on the pen or line, and a ghost object to follow. Each visualization was tested with the same set of five lines of different target speeds (2cm/s to 10 cm/s in steps of 2 cm/s) with a training line of 5 cm/s. Our results show that the example ghost on the line turns out to be the most efficient visualization for allowing users to achieve a specific speed. Users also perceived this visualization as the most engaging and easy to use. These findings have significant implications for the development of AR-based guidance systems, specifically in the realm of speed control, across diverse domains such as industrial applications, training, and entertainment.