This study focuses on the transparent design of a cognitive agent to enhance situation awareness in two aspects of a human-agent teaming application: assisted system management and mixed-initiative mission planning. Adaptive and complex agent behavior might result in the failure to comprehend resulting interventions, a decrease in trust, and a loss of overall situation awareness. This study describes and validates a concept for transparent agent design by adopting the transparency strategies proposed by the “situation awareness-based agent transparency model.” The overall objective was to improve the human operator's perception, comprehension, and projection of the agent's support. The concept was applied to the prototype of a workload-adaptive cognitive agent, which supports a helicopter crew during mission planning and execution in complex and dynamically changing multi-vehicle missions. A human-in-the-loop experiment revealed enhancements in situation awareness and performance. Subjective trust measures implied an increase in human-like characteristics of the cognitive agent. The results and the potential for further research are discussed.

中文翻译：

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有人-无人团队应用程序中工作负载自适应认知代理的透明度

本研究侧重于认知代理的透明设计，以在人类代理团队应用程序的两个方面增强态势感知：辅助系统管理和混合主动任务规划。适应性和复杂的代理行为可能会导致无法理解由此产生的干预、信任度下降和整体情况意识的丧失。本研究通过采用“基于态势感知的代理透明模型”提出的透明策略，描述并验证了透明代理设计的概念。总体目标是提高人类操作员对代理支持的感知、理解和预测。这个概念被应用于工作负载自适应认知代理的原型，在复杂且动态变化的多车辆任务中，在任务规划和执行期间为直升机机组人员提供支持。一项人机交互实验揭示了态势感知和性能的增强。主观信任措施意味着认知代理的类人特征增加。讨论了结果和进一步研究的潜力。