Abstract

As the world becomes smaller the complexity of logistic networks increases. With it highly adaptive systems are needed to withstand large-scale rapid changes with influences in the logistics chain all the way down to the internals of warehouses. To this end, several techniques such as pick-to-light and pick-to-voice have been developed to assist workers in the common picking task both in efficiency and to decrease errors. Augmented Reality systems might have the potential to help the workers even more when adapting to new environments, but it has yet to be seen how the different display technologies help the workers perform. In this scope this thesis is based, and by exploring the characteristics of the displays, some of them have been chosen to have their usability in picking scenario evaluated by experiments. Therefore an experimentation framework based on DWARF was developed which allows to rapidly change between different displays while measuring user performance during different task from the picking scenario. And finally two experiments have been conducted to measure the wayfinding times related to navigation between shelves and to picking items from a shelf.

Results/Implementation/Project Description

Conclusion