[Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others

Andrew Princle, Abraham G. Campbell, Stefanie Hutka, Alberto Torrasso, Colin Couper, Fabian Strunden, Ján Bajana, Kamil Jastzab, Ralph Croly, Rob Quigley,

2018 · 23 citations · 16 references

Concepts

TL;DR

The study evaluates an industry‑ready AR HMD for delivering work instructions during a real wind turbine maintenance task for novice users. A user study with mechanical engineering students compared AR‑guided instructions delivered via an optical see‑through HMD to tablet‑based instructions, measuring task accuracy and completion time during a yaw motor servicing procedure. AR increased overall task accuracy but did not speed completion, improving accuracy only on the thin air‑gap measurement step while slowing or not helping other steps, underscoring the need to evaluate AR benefits at the individual task‑step level.

Abstract

This paper presents a novel evaluation of an industry-ready HMD for delivering AR work instructions in a real-life, industrial procedure for novice users. A user study was performed to examine the potential benefits and limitations of a dynamic 3D virtual model and AR text instructions, delivered through an optical see through HMD, for training users in a new industry procedure (i.e., Yaw Motor Servicing of a wind turbine). Measures of task accuracy and completion time were used to evaluate the performance of one group of mechanical engineering students performing this procedure for the first time guided by AR compared to a second group performing it using a tablet-delivered instruction manual. Results showed AR improved accuracy but not speed of task completion. AR significantly increased accuracy on one specific task-step in the procedure, namely measurement of a thin air gap (see figure 1, left panel), but also showed limitations with other task-steps not benefitting or even being slowed down by AR (see figure 1, right panel). Findings speak to the importance of incorporating an analysis at the level of individual task steps in order to fully evaluate AR work instructions.

References

16