Machine Learning and Human Factors: Status, Applications, and Future Directions. (September 2018)

• Record Type: Journal Article
• Authors: Lau, Nathan; Fridman, Lex; Borghetti, Brett J.; Lee, John D.
• Is Part Of: Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Volume 62:Part 1(2018)
• Page Start: 135
• Page End: 138
• Publication Date: 2018-09
• Subjects: Human engineering -- Congresses; 620.8205
• DOI: 10.1177/1541931218621031
• Languages: English
• ISSNs: 1541-9312

Abstract

As machine learning approaches ubiquity in industrial systems and consumer products, human factors research must attend to machine learning, specifically on how intelligent systems built on machine learning are different from early generations of automated systems, and what these differences mean for human-system interaction, design, evaluation and training. This panel invites five researchers in different domains to discuss how human factors can contribute to machine learning research and applications, as well as how machine learning presents both challenges and contributions for human factors.