AI 中文总结
探讨人机协作中信任管理问题，提出从信任修复到信任满意的视角，给出含信任代理指标在线测量、机器人行为闭环自适应等的信任管理框架，通过相关实验及新度量为成功人机协作提供前提。
AI 中文摘要
将移动机器人集成到人类团队有望显著提高诸如搜索危险环境等任务的能力。未来机器人系统将具备一定人工智能，其自主性虽能提高团队效率，但也会使信任面临挑战。任务中，代理的信任状态会因队友理解的情况而变化，信任不足会影响任务成功。主动信任管理是人机团队成功的重要前提，本文提出信任满意视角，给出了信任管理框架，还提及相关实验及新行为信任度量，并指出有待进一步研究的问题。
英文摘要
Integrating mobile robots into human teams promises significant capability improvements for tasks such as searching hazardous environments. Unlike existing teleoperated robots, future robot systems will increasingly be endowed with some level of artificial intelligence (AI), giving them a degree of autonomy in how they pursue mission goals. This autonomy could make a human-agent (robot) team more effective but also put inter-agent trust under strain if robots make a mistake, or (appear to) pursue task priorities that conflict with the team's best interest. During a mission, agents' trust states are anticipated to vary according to the situation as understood by each teammate (trustor). If component-level (agent) or system-level trust falls below sufficient levels for cooperative tasks to be completed, it could critically affect mission success . We argue that active trust management will be an important precondition for the success of human-robot teams (HRTs, a subcategory of human-agent teams with embodied agents), especially in dynamic, high-risk environments. We present a trust satisficing perspective which acknowledges and attempts to account for the fluctuating, multi-faceted, and context-dependent nature of trust and trust requirements even under normal operating conditions. Our outline of a trust management framework for human-robot teaming includes online measurement of proxy metrics for trust, closed-loop adaptation of robot behavior, and variable autonomy to give space for human responsibility in situations requiring value judgements. We refer to a recent experimental exploration of 'swift trust' and a novel behavioral trust metric for HRT, and we highlight issues for further investigation.
DOI：10.1108/S1534-085620260000021005
