Quantifying and Developing Countermeasures for the Effect of Fatigue-Related Stressors on Automation Use and Trust During Robotic Supervisory Control

Quantifying and Developing Countermeasures for the Effect of Fatigue-Related Stressors on Automation Use and Trust During Robotic Supervisory Control"

This project proposes to both develop and test adaptive automation countermeasures for the effects of stressors such as sleep deprivation (SD) on human performance related to robotic tasks, and investigate the relationship between human trust and appropriate use of these countermeasures.

Inclusion Criteria:

• healthy by history, physical exam, laboratory evaluations of urine and blood, electrocardiogram (ECG), psychological screening, and self-reported sleep quality.
• engineering or computer programming experience

Exclusion Criteria:

• color blind
• pregnant or nursing
• using any prescription or non-prescription medications, caffeine, alcohol or tobacco for the three weeks prior to beginning the inpatient experiments