Presentation
Evaluating the Transition to Augmented Reality: Analyzing Task Performance and Situation Awareness in Order Picking
SessionPoster Session 1
DescriptionIntroduction
This study evaluates three order picking methods in warehouses: paper-based, handheld device (HHD), and augmented reality (AR). Paper-based picking is inefficient with higher error rates, AR offers hands-free guidance, potentially enhancing performance and reducing cognitive load. This study also explores situation awareness (SA), which affects decision-making and efficiency.
Background
Order picking research has focused on improving efficiency through digital tools, but paper-based methods remain common due to cost and simplicity. HHD methods have shown improvements but lead to higher mental workload, while AR promises better ergonomics with hands-free operation. However, the impact of AR on worker performance remains underexplored.
Approach
Fifteen participants performed order picking in a lab warehouse, using one of three methods. Data were recorded on items picked, errors, workload (NASA TLX), and SA. A between-subject design was used to minimize learning effects.
Outcome
AR: 79.4 items picked, 0.2 errors, SA score 8.38
Paper: 77.6 items picked, 1.0 errors, SA score 9.15
HHD: 58.8 items picked, 0.4 errors, SA score 9.30
Conclusion
AR outperformed other methods in efficiency and reduced physical strain. Despite its higher cognitive demand, AR offers significant potential for enhancing warehouse operations by improving performance and reducing fatigue.
This study evaluates three order picking methods in warehouses: paper-based, handheld device (HHD), and augmented reality (AR). Paper-based picking is inefficient with higher error rates, AR offers hands-free guidance, potentially enhancing performance and reducing cognitive load. This study also explores situation awareness (SA), which affects decision-making and efficiency.
Background
Order picking research has focused on improving efficiency through digital tools, but paper-based methods remain common due to cost and simplicity. HHD methods have shown improvements but lead to higher mental workload, while AR promises better ergonomics with hands-free operation. However, the impact of AR on worker performance remains underexplored.
Approach
Fifteen participants performed order picking in a lab warehouse, using one of three methods. Data were recorded on items picked, errors, workload (NASA TLX), and SA. A between-subject design was used to minimize learning effects.
Outcome
AR: 79.4 items picked, 0.2 errors, SA score 8.38
Paper: 77.6 items picked, 1.0 errors, SA score 9.15
HHD: 58.8 items picked, 0.4 errors, SA score 9.30
Conclusion
AR outperformed other methods in efficiency and reduced physical strain. Despite its higher cognitive demand, AR offers significant potential for enhancing warehouse operations by improving performance and reducing fatigue.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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