@inproceedings{584959d21db648f6965a3eb01c1706b1,
title = "Test methods and metrics for effective HRI in real-world human-robot teams",
abstract = "This second annual, full-day workshop aims to explore 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 motion toward bridging the gaps between the theory and applications of HRI, enabling reproducible studies in HRI, and accelerating the adoption of cutting edge technologies as the industry state-of-practice. The second annual workshop, {"}Test Methods and Metrics for Effective HRI,{"} seeks to identify test methods and metrics for the holistic assessment and assurance of HRI performance in practical applications. The focus is on identifying the key performance indicators of seemingly disparate sectors, and to foster the community based on the principles of transparency, repeatability and reproducibility, and establishing trust. The goal is to aid in the advancement of HRI technologies through the development of experimental design, test methods, and metrics for assessing HRI and interface designs.",
keywords = "Metrology, Performance metrics, Repeatability, Replicability, Reproducibility, Test methods",
author = "Marvel, {Jeremy A.} and Shelly Bagchi and Megan Zimmerman and Murat Aksu and Brian Antonishek and Yue Wang and Ross Mead and Terry Fong and {Ben Amor}, Heni",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 ; Conference date: 23-03-2020 Through 26-03-2020",
year = "2020",
month = mar,
day = "23",
doi = "10.1145/3371382.3374845",
language = "English (US)",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE Computer Society",
pages = "652--653",
booktitle = "HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction",
}