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Eimontaite, I.; Gwilt, I.; Cameron, D.; Aitken, J.M.; Rolph, J.; Mokaram, S.; Law, J. (2016)
Publisher: Springer International Publishing
Languages: English
Types: Other
Subjects:
The shift towards more collaborative working between humans and robots increases the need for improved interfaces. Alongside robust measures to ensure safety and task performance, humans need to gain the confidence in robot co-operators to enable true collaboration. This research investigates how graphical signage can support human–robot co-working, with the intention of increased productivity. Participants are required to co-work with a KUKA iiwa lightweight manipulator on a manufacturing task. The three conditions in the experiment differ in the signage presented to the participants—signage relevant to the task, irrelevant to the task, or no signage. A change between three conditions is expected in anxiety and negative attitudes towards robots; error rate; response time; and participants’ complacency, suggested by facial expressions. In addition to understanding how graphical languages can support human–robot co-working, this study provides a basis for further collaborative research to explore human–robot co-working in more detail.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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