Eimontaite, I., Gwilt, I., Cameron, D. orcid.org/0000-0001-8923-5591 et al. (4 more authors) (2016) Assessing Graphical Robot Aids for Interactive Co-working. In: Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future. 7th AHFE International Conference on Human Aspects of Advanced Manufacturing, July 27-31, 2016, Walt Disney World®, Florida, USA. Advances in Intelligent Systems and Computing , 490 . Springer International Publishing , pp. 229-240.
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.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Advances in Intelligent Systems and Computing. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Jul 2016 10:33 |
Last Modified: | 18 Jul 2017 06:26 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-41697-7_21 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Advances in Intelligent Systems and Computing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-41697-7_21 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102902 |