968 lines
81 KiB
Text
968 lines
81 KiB
Text
<!DOCTYPE html>
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<html lang="en" dir="ltr" prefix="content: http://purl.org/rss/1.0/modules/content/ dc: http://purl.org/dc/terms/ foaf: http://xmlns.com/foaf/0.1/ og: http://ogp.me/ns# rdfs: http://www.w3.org/2000/01/rdf-schema# schema: http://schema.org/ sioc: http://rdfs.org/sioc/ns# sioct: http://rdfs.org/sioc/types# skos: http://www.w3.org/2004/02/skos/core# xsd: http://www.w3.org/2001/XMLSchema# ">
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<h1 class="nist-page__title">Workshop Report: Test Methods and Metrics for Effective HRI in Real-World Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2020 (Virtual)</h1>
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<div class="nist-field__label">Published</div>
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<div class="nist-field__item"><time datetime="2021-02-08T12:00:00Z">February 8, 2021</time>
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<h3 class="nist-field__label">Author(s)</h3>
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<div class="nist-field__item"><span class="nist-author">Shelly Bagchi</span>, <span class="nist-author">Jeremy Marvel</span>, <span class="nist-author">Megan L. Zimmerman</span>, <span class="nist-author">Murat Aksu</span>, <span class="nist-author">Brian Antonishek</span></div>
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<div class="text-with-summary">
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<h3>Abstract</h3>
|
||
This report details the second annual, full-day workshop exploring 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.
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<div class="nist-field__item">NIST Interagency/Internal Report (NISTIR) - 8345</div>
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<div class="nist-field nist-field--label-inline string">
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<div class="nist-field__label">Report Number</div>
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<div class="nist-field__item">8345</div>
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<div class="nist-field__item"><a href="https://doi.org/10.6028/NIST.IR.8345" target="_blank">https://doi.org/10.6028/NIST.IR.8345</a></div>
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<h3 class="nist-field__label">Keywords</h3>
|
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<div class="nist-field__item">human-robot interaction, workshop, metrics, test methods</div>
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<a href="/topic-terms/robotics-manufacturing" hreflang="en">Robotics in manufacturing</a>, <a href="/topic-terms/metric" hreflang="en">Metric</a> and <a href="/topic-terms/collaborative-robots" hreflang="en">Collaborative robots</a></div>
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<article class="bibcite-reference">
|
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<div class="bibcite-citation">
|
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Bagchi, S.
|
||
, Marvel, J.
|
||
, Zimmerman, M.
|
||
, Aksu, M.
|
||
and Antonishek, B.
|
||
|
||
(2021),
|
||
Workshop Report: Test Methods and Metrics for Effective HRI in Real-World Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2020 (Virtual), NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8345
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(Accessed March 4, 2025)
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If you have any questions about this publication or are having problems accessing it, please contact <a href="mailto:reflib@nist.gov" class="usa-link">reflib@nist.gov</a>.
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<div class="text-italic font-sans-2xs">
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Created February 7, 2021, Updated March 1, 2021
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