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

Brigham and Women's Hospital22 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

BASIC_SCIENCE

Masking

NONE

Enrollment

Conditions

Sleep Deprivation

Interventions

Sleep deprivationBEHAVIORAL

Eligibility

Sex: ALLMin age: 18 YearsMax age: 40 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Brigham and Women's Hospital

Boston, Massachusetts, United States

Outcomes

Primary Outcomes

Performance metrics on simulated robotic tasks - time

Over this 72 hour time frame there will be six assessments. Once on Day1, 4 times during the sleep deprivation on Days 2-3, and once on Day 4, the participant will perform computer simulations of "missions" with tasks. The time to complete tasks will be one of the metrics. The change in metrics related to length of time of awake will be assessed using longitudinal analysis methods.

Time frame: 72 hours

Performance metrics on simulated robotic tasks - number complete

Over this 72 hour time frame there will be six assessments Once on Day1, 4 times during the sleep deprivation on Days 2-3, and once on Day 4, the participant will perform computer simulations of "missions" with tasks. The number of completed tasks will be one of the metrics.The change in metrics related to length of time of awake will be assessed using longitudinal analysis methods.

Time frame: 72 hours

Performance metrics on simulated robotic tasks - resources uses

Over this 72 hour time frame there will be six assessments Once on Day1, 4 times during the sleep deprivation on Days 2-3, and once on Day 4, the participant will perform computer simulations of "missions" with tasks. The resources used will be one of the metrics.The change in metrics related to length of time of awake will be assessed using longitudinal analysis methods.

Time frame: 72 hours

Data from ClinicalTrials.gov

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