Quantifying and Developing Countermeasures for the Effect of Fatigue-Related Stressors on Automation Use and Trust During Robotic Supervisory Control
1 other identifier
interventional
22
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2016
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2016
CompletedFirst Submitted
Initial submission to the registry
April 18, 2016
CompletedFirst Posted
Study publicly available on registry
April 29, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2018
CompletedJuly 11, 2018
July 1, 2018
1.2 years
April 18, 2016
July 9, 2018
Conditions
Outcome Measures
Primary Outcomes (3)
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.
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.
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.
72 hours
Study Arms (1)
Sleep Deprivation
EXPERIMENTALSleep deprivation
Interventions
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Elizabeth B Klerman, MD PhD
Brigham and Women's Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
April 18, 2016
First Posted
April 29, 2016
Study Start
April 1, 2016
Primary Completion
May 31, 2017
Study Completion
May 31, 2018
Last Updated
July 11, 2018
Record last verified: 2018-07