Performance Enhancement in an Uninhabited Air Vehicle Task Using Psychophysiologically Determined Adaptive Aiding

By Glenn F. Wilson, Christopher A. Russell. Hum. Factors, 2007

295 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/3d943138cdc1d7b6214682a6eb2c8b8a39522c39

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Stephen H. Fairclough
2. Mica R. Endsley

In Experimental and Cognitive Psychology

1. Stephen H. Fairclough
2. Mica R. Endsley

In Social Psychology

1. Jan B. F. van Erp
2. Stephen H. Fairclough
3. Mica R. Endsley
4. C. Wickens
5. David B. Kaber

Citations in the corpus

• From Here to Autonomy (2017, background): “…in operator engagement, as measured by electroencephalography, have also been demonstrated (Bailey, Scerbo, Freeman, Mikulka, & Scott, 2003; Prinzel, Freeman, Scerbo, Mikulka, & Pope, 2003), and AA has been shown to improve performance during high-workload periods (Wilson & Russell, 2007).”
• Fundamentals of physiological computing (2009, methodology): “The dynamic model of the user generated by psychophysiology may be relatively crude or finely graded, i.e., mental workload could be categorised as acceptable vs. overload or classified into four grades such as low/medium/high/overload (Wilson and Russell, 2007).”
• Estimating workload using EEG spectral power and ERPs in the n-back task (2012, background): “Wilson and Russell (2007) showed that in a simulated uninhabited aerial vehicle task, performance improved when the operator’s task was alleviated at times when a combination of psychophysiological measures indicated a high workload, compared to when the same alleviation was provided at random…”