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.

构建在技术和社会科学方法的综合基础之上，社会认知机器人是一种跨学科的方法，旨在将人类为中心的目标置于首位，并通过各种研究视角和问题来改进机器人与个体互动以及对社会的影响。