We evaluate AR for Plant maintenance by measuring how a pro- totype guidance system, tested under representative conditions, impacts performance. We are motivated to determine the cost- benefit of interactive guidance for hazardous, repetitive tasks and we observe an improvement of 21% efficiency, 50% accuracy and 19% reduced task load. AR has already been shown to deliver im- provements in task performance, however, there is limited research exploring the integration of AR into complete task routines which presents a barrier to adoption. We apply mixed reality guidance via two within-group experiments. We measure efficiency and ac- curacy over a complete routine conducted under simulated condi- tions. Results compare AR versus Static and AR versus Adaptive. We conclude AR is best suited to demanding spatial translation and completion under pressure. We suggest AR offers potential in similar routines and propose further work to integrate in a live setting.
|Publication status||Accepted/In press - 18 May 2021|
|Event||ACM International Conference on Mobile Human-Computer Interaction - Toulouse, France|
Duration: 27 Sep 2021 → 1 Oct 2021
|Conference||ACM International Conference on Mobile Human-Computer Interaction|
|Abbreviated title||MobileHCI 2021|
|Period||27/09/21 → 1/10/21|