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Towards Effective Interface Designs for Collaborative HRI in Manufacturing: Metrics and Measures

Published

Author(s)

Jeremy A. Marvel, Shelly Bagchi, Megan L. Zimmerman, Brian Antonishek

Abstract

We present a comprehensive framework for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing applications. An overview of the challenges that face current- and next-generation collaborative robot systems is presented, specifically focused on the interactions between man and machine, and a series of objectively quantitative and subjectively qualitative metrics are given to guide the development and assessment of interfaces and interactions. A generalized set of guidelines for the design of HMI is also proposed to address these challenges and thereby enable effective and intuitive diagnostics and error corrections when process failures occur. These guidelines are aimed at maximizing operator situation awareness in human-robot collaborative manufacturing teams, promoting effective process and system diagnostics reporting, and enabling faster responses to equipment or application errors.
Citation
IEEE Transactions on Human-Machine Systems
Volume
9
Issue
4

Keywords

manufacturing robotics

Citation

Marvel, J. , Bagchi, S. , Zimmerman, M. and Antonishek, B. (2020), Towards Effective Interface Designs for Collaborative HRI in Manufacturing: Metrics and Measures, IEEE Transactions on Human-Machine Systems, [online], https://doi.org/10.1145/3385009 (Accessed September 18, 2021)
Created May 28, 2020, Updated October 22, 2020