Presentation
Individual Characteristics and Operator Dependence Behaviors in Human-Automation Teams: An Exploratory Study
DescriptionUnderstanding the impact of operator characteristics on human-automation team (HAT) collaborations is crucial as automation becomes pervasive. Despite extensive HAT research, operator traits have been overlooked, hindering comprehension of human-automation interactions. This study delves into how individual traits affect operator dependence, cross-checking behaviors, and trust in automation. Through a controlled experiment involving 52 participants in a dual-task scenario, we examine how personal characteristics shape operator behaviors. Findings highlight the significant influence of individual traits on HAT outcomes. Specifically, higher attention scores corresponded to increased automation compliance, while better intuition scores favored validation of automated teammates. Conversely, higher rationality scores correlated with lower tracking and higher detection rates. Additionally, higher spontaneity scores were associated with blind non-reliance, whereas higher risk propensity scores were linked to blind reliance. This research illuminates the role of personal characteristics in HAT dynamics, facilitating personalized team interactions, trust building, and enhanced performance in automated settings.
Event Type
Lecture
TimeTuesday, September 10th1:30pm - 1:50pm MST
LocationFLW Salon C
Cognitive Engineering & Decision Making