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EVALUATION OF LATENT SEMANTIC ANALYSIS-BASED MEASURES OF TEAM COMMUNICATIONS CONTENT

机译:基于潜在语义分析的团队通信内容评估

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Team process is thought to mediate team member inputs and team performance. Among the team behaviors identified as process variables, team communications have been widely studied. We view team communications as a team behavior and also as team information processing, or team cognition. Within the context of a Predator Uninhabited Air Vehicle (UAV) synthetic task, we have developed several methods of communications content assessment based on Latent Semantic Analysis (LSA). These methods include: Communications Density (CD) which is the average task relevance of a team’s communications, Lag Coherence (LC) which measures taskrelevant topic shifting over UAV missions, and Automatic Tagging (AT) which categorizes team communications. Each method is described in detail. CD and LC are related to UAV team performance. AT-human is comparable to human-human agreement on content coding. The results are promising for the assessment of teams based on LSA applied to communication content.
机译:团队流程被认为可以调解团队成员的投入和团队绩效。在确定为过程变量的团队行为中,团队沟通已得到广泛研究。我们将团队沟通视为团队行为,也视为团队信息处理或团队认知。在捕食者无人飞行器(UAV)综合任务的背景下,我们开发了几种基于潜在语义分析(LSA)的通信内容评估方法。这些方法包括:通信密度(CD),这是团队通信的平均任务相关性;滞后一致性(LC),用于测量与无人机任务相关的任务相关主题转移;以及自动标记(AT),用于对团队通信进行分类。每种方法都有详细说明。 CD和LC与无人机团队的绩效有关。 AT-human可以与人类对内容编码的协议相媲美。该结果对于基于应用于通讯内容的LSA的团队评估很有希望。

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