Many measures of human-robot trust have proliferated across the HRI research literature because each attempts to capture the factors that impact trust despite its many dimensions. None of the previous trust measures, however, address the systems of inequity and structures of power present in HRI research or attempt to counteract the systematic biases and potential harms caused by HRI systems. This position paper proposes a participatory and social justice-oriented approach for the design and evaluation of a trust measure. This proposed process would iteratively co-design the trust measure with the community for whom the HRI system is being created. The process would prioritize that community's needs and unique circumstances to produce a trust measure that accurately reflects the factors that impact their trust in a robot.

翻译：人机信任的众多度量方法在人机交互研究文献中广泛涌现，每种方法都试图捕捉影响信任的多种因素，尽管其维度复杂。然而，现有信任度量均未涉及人机交互研究中存在的不平等体系与权力结构，也未试图抵消由人机交互系统导致的系统性偏见与潜在危害。本立场论文提出了一种基于参与式与社会公正导向的信任度量设计与评估方法。该流程将与目标社区共同迭代设计信任度量工具，优先考虑其需求与独特情境，以生成能够准确反映影响其机器人信任因素的度量标准。