Assessing Graphical Robot Aids for Interactive Co-working

EIMONTAITE, Iveta, GWILT, Ian, CAMERON, David, AITKEN, Jonathan M., MOKARAM, Saeid and LAWS, James (2016). Assessing Graphical Robot Aids for Interactive Co-working. In: Advances in Ergonomics of Manufacturing : Managing the Enterprise of the Future. Advances in Intelligent Systems and Computing (490). Springer, 229-239.

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Official URL: http://link.springer.com/chapter/10.1007/978-3-319...
Link to published version:: 10.1007/978-3-319-41697-7_21

Abstract

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.

Item Type: Book Section
Additional Information: Proceedings of the AHFE 2016 International Conference on Human Aspects of Advanced Manufacturing, July 27-31, 2016, Walt Disney World®, Florida, USA Series ISSN: 2194-5357
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Art and Design Research Centre
Identification Number: 10.1007/978-3-319-41697-7_21
Related URLs:
Depositing User: Ian Gwilt
Date Deposited: 25 Jul 2016 09:30
Last Modified: 12 Jul 2017 19:32
URI: http://shura.shu.ac.uk/id/eprint/12608

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