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         <title>Workshop Report</title>
         <subTitle>Novel and Emerging Test Methods and Metrics for Effective Hri, Acm/IEEE Conference on Human-Robot Interaction, 2021</subTitle>
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         <topic>Human-robot interaction</topic>
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    <abstract>This report details the third annual, full-day workshop exploring the state-of-practice in the metrology necessary for repeatably and independently assessing the performance of robotic systems in real-world human-robot interaction (HRI) scenarios. This workshop continues the aims of shortening the lead time between the theory and applications of HRI, enabling reproducible studies, and accelerating the adoption of cutting-edge technologies as the industry state-of-practice. The workshop was held on March 12, 2021, as part of the virtual ACM/IEEE International Conference on Human-Robot Interaction. This third installment of the annual workshop, &apos;Test Methods and Metrics for Effective HRI,&apos; seeks to identify novel and emerging test methods and metrics for the holistic assessment and assurance of HRI performance. The focus is on identifying innovative metrics and test methods for the evaluation of HRI performance, and to advance the growth of the HRI community based on the principles of collaboration, data sharing, and repeatability. The goal of this workshop is to aid in the advancement of HRI technologies through the development of experimental design, test methods, and metrics for assessing interaction and interface designs.</abstract>
    <note type="statement of responsibility">Shelly Bagchi; Jeremy A. Marvel; Megan Zimmerman; Murat Aksu; Brian Antonishek; Xiang Li; Heni Ben Amor; Terry Fong; Ross Mead; Yue Wang.</note>
    <note>February 2022.</note>
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