Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center. To meet this challenge, we advocate an interdisciplinary approach, socially cognizant robotics, which synthesizes technical and social science methods. We argue that this approach follows from the need to empower stakeholder participation (from synchronous human feedback to asynchronous societal assessment) in shaping AI-driven robot behavior at all levels, and leads to a range of novel research perspectives and problems both for improving robots' interactions with individuals and impacts on society. Drawing on these arguments, we develop best practices for socially cognizant robot design that balance traditional technology-based metrics (e.g. efficiency, precision and accuracy) with critically important, albeit challenging to measure, human and society-based metrics.

翻译：机器人技术的新兴应用及其潜在影响要求研究团体将人本目标置于核心位置。为应对这一挑战，我们倡导采用跨学科方法——社会认知机器人技术，融合技术科学方法与社会学方法。我们认为，这一方法源于在人工智能驱动机器人行为的各个层面（从同步人类反馈到异步社会评估）赋权利益相关者参与的必要性，并由此衍生出改善机器人个体交互行为与社会影响的一系列新颖研究视角与课题。基于上述论证，我们构建了社会认知机器人设计的最佳实践准则，该准则在平衡传统技术指标（如效率、精确度与准确度）与至关重要却难以量化的人类与社会指标之间寻求协调。