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Individual differences in response to automation: the five factor model of personality
James L Szalma1, Grant S Taylor
1Department of Psychology, University of Central Florida, Orlando, USA. James.Szalma@ucf.edu
Operator personality traits influence performance and stress in automated tasks. Understanding individual differences is key for designing effective adaptive automation systems that match human capabilities.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Automation Engineering
Background:
- Operator personality and adaptive automation characteristics are crucial for system performance.
- Previous research has not fully explored the interplay between the Five Factor Model of personality and human responses to automation.
Purpose of the Study:
- To investigate how operator personality (Five Factor Model), task characteristics, and adaptive automation features influence performance, workload, stress, and coping.
- To identify specific personality traits relevant for optimizing automation design.
Main Methods:
- 161 college students monitored a simulated uninhabited ground vehicle (UGV) task with varying automation reliability (75% or 95%) and task loads (2 or 4 displays).
- Assessed operator performance, workload, stress, and coping strategies in relation to personality traits and automation/task conditions.
Main Results:
- Task demand was the most significant factor influencing outcomes.
- Automation characteristics did not directly affect workload or stress but interacted with task factors.
- Personality traits, particularly Neuroticism, were linked to performance, workload, and stress, with varying effects across conditions.
Conclusions:
- Individual differences, specifically personality traits, should be integrated into automation design.
- Identifying relevant person characteristics can inform decisions on function automation and the form/level of automation.
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