Skye Taylor

Ph.D. Candidate, Systems Engineering
Google Scholar Linkedin

About

Skye's dissertation research focuses on improving the design and reliability of subjective measures of human workload, namely the NASA-TLX.

Education

M.E. Systems and Information Engineering, Graduate Certificate in Cyber-Physical Systems (2024)

B.S. Industrial and Systems Engineering, Minor in Mathematics from Virginia Tech (2022)

Selected Publications

A Formal Method for Assessing Mental Workload. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Reliable and transparent in-vehicle agents lead to higher behavioral trust in conditionally automated driving systems
Happiness and high reliability develop affective trust in in-vehicle agents
Adaptive Task Allocation Preferences in Different Workload Scenarios in Driving Automation Systems. Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Awards

Outstanding Graduate Service Award (UVA Systems Engineering) Spring 2025
Teaching Fellowship Program (UVA Engineering) Spring 2025
HFES Gold Chapter Award (HFES Annual Conference) 2024
The Raven Society (Elected Member) Spring 2024
Presidential Fellowship (UVA Engineering) 2023
Young Professionals' Conference Travel Grant (IEEE SMC Annual Conference) 2023
Outstanding Service Award (Virginia Tech Grado Department of Industrial and Systems Engineering) 2022