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How Multi-Tasking Ability Impacts Performance, Workload, Situation Awareness, Stress and Trust with Simulated
Jayden N Greenwell-Barnden1, Troy A W Visser1, Shayne Loft1
1The University of Western Australia, Australia.
Individual differences in multi-tasking ability (MTa) significantly impact how people handle imperfect automation. Lower multi-tasking ability (MTa) individuals experienced greater automation costs, while higher MTa individuals better calibrated trust in automated systems.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Automation Safety
Background:
- Automation reliability is a critical concern in complex systems like air traffic control (ATC).
- Prior research shows multi-tasking ability (MTa) affects responses to reliable automation.
- The impact of MTa on supervising imperfect automation remains unclear.
Purpose of the Study:
- To investigate how individual differences in multi-tasking ability (MTa) influence the performance, workload, situation awareness, stress, and trust when supervising imperfect automation in simulated air traffic control (ATC).
Main Methods:
- Multi-tasking ability (MTa) was assessed using cognitive tasks in 113 undergraduate students.
- Participants performed simulated ATC tasks under manual control and with imperfect automation.
- Automation errors included missing 30% of aircraft acceptance and hand-off events.
Main Results:
- Lower MTa participants showed greater performance benefits from reliable automation but larger costs with unreliable automation.
- Automation improved situation awareness and reduced workload, irrespective of MTa.
- Stress reduction was more pronounced for lower MTa participants with automation.
- Higher MTa participants demonstrated more accurate trust calibration across automation reliability levels.
Conclusions:
- Multi-tasking ability (MTa) significantly modulates the effects of imperfect automation on performance, stress, and trust in ATC.
- Findings suggest MTa is a crucial factor in personnel selection for roles involving volatile automation reliability.
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