Design requirements for effective hybrid decision making with Evolvable Assembly Systems

Golightly, David; Sanderson, David; Holmes, Paul; Ratchev, Svetan; Sharples, Sarah

Abstract

This paper examines 10 challenges for making automation a team player in the context of Evolvable Assembly Systems (EAS) with the aim of delivering requirements for effective hybrid human-automation decision making. Specific decision making use cases for a demonstrator system were analysed to capture opportunities and requirements for effective human-agent cooperative decision making. These requirements covered agent design, human-machine interface design, context aware computing requirements and human competency. As such, the paper provides concrete examples of how general principles for hybrid decision making can be applied to EAS, and presents a pilot of a method for future requirements elicitation.

Citation

Golightly, D., Sanderson, D., Holmes, P., Ratchev, S., & Sharples, S. (2016, September). Design requirements for effective hybrid decision making with Evolvable Assembly Systems. Presented at European Conference on Cognitive Ergonomics, Nottingham, UK

• Presentation Conference Type: Edited Proceedings
• Conference Name: European Conference on Cognitive Ergonomics
• Start Date: Sep 5, 2016
• End Date: Sep 8, 2016
• Acceptance Date: May 2, 2016
• Publication Date: Sep 5, 2016
• Deposit Date: Jun 20, 2016
• Publicly Available Date: Sep 5, 2016
• Peer Reviewed: Peer Reviewed
• Book Title: ECCE '16: Proceedings of the European Conference on Cognitive Ergonomics
• ISBN: 9781450342445
• DOI: https://doi.org/10.1145/2970930.2970949
• Keywords: Human-machine interface requirements; human-agent collaboration; human factors for manufacturing
• Public URL: https://nottingham-repository.worktribe.com/output/791707
• Publisher URL: http://dl.acm.org/citation.cfm?doid=2970930.2970949
• Additional Information: Published in: ECCE '16 : Proceedings of the European Conference on Cognitive Ergonomics. New York : ACM, 2016. ISBN: 978-1-4503-4244-5 doi: 10.1145/2970930.2970949
• Contract Date: Jun 20, 2016