Team Skill Metrics that Span Human-Human and Human-Agent Teams: An Initial Assessment

Michael C. Dorneich, Stephen Gilbert, Rick F. Francis, Mitchell Talyat, Elmin Didic
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Abstract

Team skill metrics were operationalized by translating team constructs to metrics based on observable behaviors. As human coordination with autonomous agents turns to collaboration, humans may increasingly view agents as teammates. This transition will require agents to possess team skills and necessitate appropriate metrics for measuring team skills across human-agent and human-human teams. Thirty-eight teaming metrics were developed across five stages of teaming: preparation, execution, evaluation, adjustment, and team chemistry. Behaviors from 78 multiplayer gameplay videos were coded to establish which metrics could be measured via observable behaviors. An exploratory assessment demonstrated that the metrics captured teaming differences in team composition (human-human teams vs. human-agent teams) and three levels of team expertise. Results suggest that these team skill metrics could aid agent designers in anticipating the team dynamics of humans working with their agents.
跨越人与人和人代理团队的团队技能度量:初步评估
团队技能度量通过将团队构造转换为基于可观察行为的度量来实现。随着人类与自主代理的协调转变为协作,人类可能越来越多地将代理视为队友。这种转变将要求代理人拥有团队技能,并需要适当的度量标准来衡量人与人之间和人与人之间团队的团队技能。38个团队指标跨越五个团队阶段:准备、执行、评估、调整和团队化学。我们对78个多人游戏玩法视频的行为进行编码,以确定哪些指标可以通过可观察的行为来衡量。一项探索性评估表明,这些指标捕获了团队组成(人类团队与人类代理团队)和三个团队专业水平的团队差异。结果表明,这些团队技能指标可以帮助代理设计师预测人类与他们的代理一起工作的团队动态。
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