| Autor: |
Marvel, Jeremy A., Bagchi, Shelly, Zimmerman, Megan, Aksu, Murat, Antonishek, Brian, Wang, Yue, Mead, Ross, Fong, Terry, Amor, Heni Ben |
| Předmět: |
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| Zdroj: |
ACM Transactions on Human-Robot Interaction; Sep2022, Vol. 11 Issue 3, p1-5, 5p |
| Abstrakt: |
This special issue of the Transactions on Human-Robot Interaction highlights, documents, and explores the metrics, test methods, and artifacts used in human-robot interaction (HRI) research. This collection of articles brings to attention the commonalities between the application of measurement science for the assessment and assurance of human-centric robotics in a variety of application domains, including industry, education, and defense. This special issue draws specific attention to the use and impact of metrology toward the advancement of HRI technologies and algorithms, and it promotes the application of measurement science toward the benchmarking and replication of HRI research. Special attention is given to the use cases, data sets, test methodologies, measurement techniques, metrics, and statistical analyses used to evaluate system performance. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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