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Exploring Short-Term Training Effects of Ecological Interfaces: A Case Study in Air Traffic Control

机译:探索生态界面的短期培训效果 - 以空中交通管制为例

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In many work domains, the push toward higher levels of automation raises the concern of diminishing human expertise. Ecological interfaces could help operators in retaining and potentially even in acquiring expertise as they are hypothesized to lead to a deeper understanding of the work domain. This study explores the short-term impact of ecological interfaces on knowledge development and compares the results with an instruction-based training method. To monitor and compare students' progress, their decision-making strategies, identified from verbal comments recorded in "think-aloud" simulator sessions, are mapped onto the decision ladder. This method has been applied to an experiment (N=16) aimed at training novices in conflict detection and resolution (CD&R) within a simplified air traffic control context. Results show that the overall CD&R performance in the final measurement sessions, featuring a transfer manipulation, was not significantly different between the "ecological" and "instructional" groups. In terms of cognitive behavior, however, students in the ecological group exhibited more laborious rule- and knowledge-based behaviors that sparked goal-oriented thoughts and corresponding control performances beyond the CD&R task. These findings indicate that ecological interfaces can change how people think and approach a control problem, even after removing the support. It is therefore reasonable to believe that ecological interfaces can play an important role in the early stages of deep knowledge development.
机译:在许多工作领域中,推动更高水平的自动化提高了人类专业知识减少的关注。生态界面可以帮助运营商保持和潜在,即使在获取专业知识时,它们是假设的,以导致对工作领域的更深入了解。本研究探讨了生态界面对知识发展的短期影响,并将结果与​​基于指令为基础的培训方法进行了比较。要监控和比较学生的进度,他们的决策策略从“思考 - 大声”模拟器会话中录制的口头评论中映射到决策梯形图。该方法已应用于实验(n = 16),旨在在简化的空中交通管制背景下在冲突检测和分辨率(CD&R)中的培训新手。结果表明,“生态”和“教学”群体之间的最终测量课程中的总体CD&R性能在最终测量课程中,在“生态”和“教学”群体之间没有显着差异。然而,在认知行为方面,生态学集团的学生表现出更加艰苦的规则和知识的行为,它引发了以CD&R任务的目标导向的思想和相应的控制性能。这些调查结果表明,即使在去除支持之后,生态接口也可以改变人们如何思考和接近控制问题。因此,相信生态界面可以在深度知识发展的早期阶段发挥重要作用。

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