了解城市搜救任务中团队认知负荷和建议服从的影响

Matthew M. Willett, Mustafa Demir
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引用次数: 0

摘要

本研究集中探讨了人工社会智能(ASI)的建议干预短信和三名人类团队成员的服从性对团队表现的影响,他们通过语音交流来执行受害者救援行动。本实验在使用 Minecraft 构建的模拟城市搜救(USAR)任务环境中进行。人工智能代理利用其围绕交互式实时测量设计的分析组件,监督团队在 USAR 任务环境中的行为。该代理可识别和预测人类团队成员的行动,并通过文本信息提供干预,以促进和维持团队效率。本研究探讨了(1)团队认知负荷对遵从顾问信息的影响,以及(2)这些因素如何共同影响团队绩效。研究结果表明,尽管认知负荷与遵从性之间缺乏显著的相关性,但认知负荷、遵从性和任务绩效的提高之间存在正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task
This research concentrates on the impact of Artificial Social Intelligence (ASI)'s advice intervention text messages and the compliance of three human team members, who communicate via voice to carry out victim rescue operations, on the team's performance. This experiment takes place in a simulated Urban Search and Rescue (USAR) task environment built using Minecraft. The ASI agent, utilizing its analytical components designed around interactive real-time measurements, oversees the team's behavior in the USAR task environment. The agent discerns and forecasts the human team members' actions, offering interventions via text messages to foster and sustain team efficacy. The study examines (1) the influence of the team's cognitive load on message compliance from the advisor, and (2) how these elements collectively affect team performance. The results show a positive association between cognitive load, compliance, and enhanced task performance, despite the lack of a significant correlation between cognitive load and compliance.
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