Visual search requires focused attention to distinguish the target object from its surroundings. This task is increasingly more difficult when searching for a given object within a messy industrial workshop. Thus, we explored how we can support visual search with the help of an augmented reality (AR) head-mounted display (HMD) running YOLOv8 object detection model. We report on the results from a pilot user study with eleven participants tasked with searching for a series of objects in a real-world workshop. Consequently, we reflect on lessons learned concerning the experimental setup with AR interface enhanced with Segment Anything Model (SAM) for YOLOv8 training.
Dr Sławomir Tadeja
Slawomir K. Tadeja is a postdoctoral research associate in the Cyber-Human Lab belonging to the Institute of Manufacturing at the University of Cambridge. Previously,...