支持检测敌意意图:在动态决策环境中提供自动化协助
Colleen E Patton1, Christopher D Wickens2, C A P Smith2
1Department of Psychology, Colorado State University, Fort Collins, USA. colleenpatton10@gmail.com.
Cognitive research: principles and implications
|November 19, 2023
概括
自动注意力辅助器在动态决策任务中提高了船舶检测准确度和响应时间,但检测仍然不够优. 自动化透明度对绩效结果的影响最小.
科学领域:
- 人与计算机的互动.
- 认知心理学 认知心理学
- 决策科学科学 决策科学
背景情况:
- 在运营环境中,动态决策任务至关重要.
- 识别敌意意图需要有效的信息处理和决策支持.
- 自动化辅助可以在复杂,时间敏感的情况下提供帮助.
研究的目的:
- 在模拟船舶移动任务中评估自动注意力辅助器的有效性.
- 评估自动化透明度对决策绩效的影响.
- 了解支持威胁检测动态决策的挑战.
主要方法:
- 参与者从事动态决策任务,模拟船舶运动.
- 一个自动化的注意力辅助器突出显示了最可能的敌对舰艇.
- 自动化透明度向部分参与者提供,解释了援助的理由.
主要成果:
- 自动化注意力辅助器提高了准确性,缩短了响应时间.
- 尽管得到了援助,但敌对行为的低最佳检测仍然存在.
- 提供有关援助理由的透明度对业绩产生了有限的影响.
结论:
- 自动化注意力辅助可以提高动态决策中的性能,但不能消除错误.
- 在这种情况下,自动化透明度的好处是最小的.
- 需要进行进一步的研究,以优化针对复杂威胁检测场景的决策支持系统.
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