Fatigue and its impact on human-AI collaboration, especially in terms of aviation performance and safety.
Conditions
Interventions
Group 1: Sleep deprivation measurement
- Measurement during a night without sleep in a circadian low
- Performance battery consisting of a vigilance test, group decision-making tasks and eye movement
Sponsors
DLR - Institut für Luft- und Raumfahrtmedizin
Eligibility
Sex/Gender
All
Age
18 Years to 40 Years
Inclusion criteria
Inclusion criteria: - 18-40 years old - Male or female - BMI of 30 or less - proficient in the German language - Non-smoker, no drug use - No neurological or mental illnesses or other psychological or medical complaints that could influence the course of the study - No participation in the DLR studies "CoCo" (2015) or "ITC" (2019-20)
Exclusion criteria
Exclusion criteria: - Participation in CoCo study 2015 or ITC study 2019/2020 - BMI > 30 - Not proficient in the German language - Any medication with influence on the examination parameters - Drug addiction, smoker - visual and hearing problems affecting eye movement measurement or communication hearing problems - any other condition which, in the opinion of the doctors carrying out the test, makes the test subject unsuitable (e.g. claustrophobia) - pregnancy - suspected sleep apnoea syndrome (STOP-Bang and ESS) - Extreme manifestations of relevant personality traits - Tendency to depression (BDI) - Inadequate performance during training in the control centre simulation
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Error rate with which the test subjects identify critical incidents in a control center simulation and make decisions | — |
Secondary
| Measure | Time frame |
|---|---|
| - the reaction time is analyzed as a function of the transparency of the AI under fatigue and in a rested state. - Effects of collaboration with AI on gaze behavior, heart rate variability, subjective perception of human-machine interaction, trust in the agent, perceived teamwork, and workload under fatigue | — |
Countries
Germany
Contacts
Public ContactEva-Maria Elmenhorst
DLR - Institut für Luft- und Raumfahrtmedizin
Outcome results
None listed