Work

Validation of a Formal Method for Human Error Rate Prediction With Negative Transfer

Year: 2025

Type: article

Source: IEEE Transactions on Human-Machine Systems

DOI: 10.1109/thms.2025.3593085

Authors: Yeonbin Son, Matthew L. Bolton, Emma Crooks, Hannah Palmer, Eunsuk Kang, Christopher Daly

Institutions: University of Virginia, United States Army Corps of Engineers, Carnegie Mellon University, University at Buffalo, State University of New York

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Science Foundation

Awards: FMitF: Collaborative Research: Track I: Preventing Human Errors in Cyber-human Systems with Formal Approaches to Human Reliability Rating and Model Repair, FMitF: Collaborative Research: Track I: Preventing Human Errors in Cyber-human Systems with Formal Approaches to Human Reliability Rating and Model Repair, FMitF: Collaborative Research: Track I: Preventing Human Errors in Cyber-human Systems with Formal Approaches to Human Reliability Rating and Model Repair

OpenAlex ID: W4413556978

FWCI:

Cites: 46

Cited by:

Related to: 10