Julie L Harrison, Shiwen Zhou, Matthew J Scalia, David A P Grimm, Mustafa Demir, Nathan J McNeese, Nancy J Cooke, Jamie C Gorman
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Further, technological failures of variable severity may alter communication strategies of HATs at different performance levels in their attempts to overcome each failure.</p><p><strong>Method: </strong>HATs in a Remotely Piloted Aircraft System-Synthetic Task Environment (RPAS-STE), involving three team members, were tasked with photographing targets. Each triad had two randomly assigned participants in navigator and photographer roles, teaming with an experimenter who simulated an AI pilot in a Wizard of Oz paradigm. Teams encountered two different technological failures, automation and autonomy, where autonomy failures were more challenging to overcome.</p><p><strong>Results: </strong>High-performing HATs calibrated their communication strategy to the complexity of the different failures better than medium- and low-performing teams. Further, HATs adjusted their communication strategies over time. 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引用次数: 0
摘要
目的:本研究探讨了低绩效、中绩效和高绩效的人类自主团队(HATs)在各种技术故障中的沟通策略:本研究探讨了低、中、高绩效的人类自主团队(HATs)在各种技术故障中的沟通策略,这些故障会影响日常沟通策略,以适应任务环境:背景:在执行动态任务时,团队必须调整他们的交流策略。沟通策略的调整可以解释成功的团队是如何克服技术故障的。此外,不同严重程度的技术故障可能会改变不同绩效水平的 HAT 在试图克服每次故障时的沟通策略:方法:在遥控飞机系统-合成任务环境(RPAS-STE)中,由三名小组成员组成的HAT负责拍摄目标。每个三人小组都有两名随机分配的参与者,分别扮演导航员和摄影师的角色,并与一名在绿野仙踪范例中模拟人工智能飞行员的实验者组队。小组遇到了自动化和自主化两种不同的技术故障,其中自主化故障的克服更具挑战性:结果:表现优异的 HAT 比表现中等和较差的团队更好地根据不同故障的复杂性调整沟通策略。此外,HAT 还会随着时间的推移调整其沟通策略。最后,只有最严重的故障要求团队提高通信效率:结论:在退化条件下,HAT 的有效性取决于团队所采用的沟通策略类型。以前对全人类团队的研究结果也适用于此;但是,新的研究结果表明,信息请求对 HAT 在故障期间取得成功尤为重要:应用:通过了解HAT在退化条件下的交流策略,可以为培训方案提供信息,帮助HAT克服失败。
Communication Strategies in Human-Autonomy Teams During Technological Failures.
Objective: This study examines low-, medium-, and high-performing Human-Autonomy Teams' (HATs') communication strategies during various technological failures that impact routine communication strategies to adapt to the task environment.
Background: Teams must adapt their communication strategies during dynamic tasks, where more successful teams make more substantial adaptations. Adaptations in communication strategies may explain how successful HATs overcome technological failures. Further, technological failures of variable severity may alter communication strategies of HATs at different performance levels in their attempts to overcome each failure.
Method: HATs in a Remotely Piloted Aircraft System-Synthetic Task Environment (RPAS-STE), involving three team members, were tasked with photographing targets. Each triad had two randomly assigned participants in navigator and photographer roles, teaming with an experimenter who simulated an AI pilot in a Wizard of Oz paradigm. Teams encountered two different technological failures, automation and autonomy, where autonomy failures were more challenging to overcome.
Results: High-performing HATs calibrated their communication strategy to the complexity of the different failures better than medium- and low-performing teams. Further, HATs adjusted their communication strategies over time. Finally, only the most severe failures required teams to increase the efficiency of their communication.
Conclusion: HAT effectiveness under degraded conditions depends on the type of communication strategies enacted by the team. Previous findings from studies of all-human teams apply here; however, novel results suggest information requests are particularly important to HAT success during failures.
Application: Understanding the communication strategies of HATs under degraded conditions can inform training protocols to help HATs overcome failures.
期刊介绍:
Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.