TY - GEN
T1 - Test Methods and Metrics for Effective HRI in Collaborative Human-Robot Teams
AU - Marvel, Jeremy A.
AU - Bagchi, Shelly
AU - Zimmerman, Megan
AU - Aksu, Murat
AU - Antonishek, Brian
AU - Wang, Yue
AU - Mead, Ross
AU - Fong, Terry
AU - Ben Amor, Hani
PY - 2019/3/22
Y1 - 2019/3/22
N2 - Verified and validated test methods, being necessary to measure the performance of complex systems, are important tools for driving innovation, benchmarking and improving performance, and establishing trust in collaborative human-robot teams. This full-day workshop aims to explore the metrology necessary for repeatably and independently assessing the collaborative performance of robotic systems in real-world human-robot interaction (HRI) scenarios. This workshop aims to bridge the gaps between the theory and applications of HRI in industry, accelerating the adoption of cutting edge technologies as the industry state-of-practice. The interest in collaborative HRI is evident in the current market as well as standards efforts toward manufacturing, social, medical, and service robot solutions. Though these domains have been considered separate for many years, recent technological and scientific advancements show that, while their applications may differ, the underlying principles of HRI performance impact each identically. As such, this workshop seeks to identify test methods and metrics for the holistic assessment and assurance of collaborative HRI performance. The focus is on identifying the key performance indicators of these seemingly disparate sectors, and additionally to establish a community based on the principles of transparency, repeatability, establishing trust in the assessment of collaborative HRI. The goal is to aid in the advancement of HRI technologies through the development of experimental scenarios, protocols, test methods, metrics for the verification and validation of interaction solutions and interface designs.
AB - Verified and validated test methods, being necessary to measure the performance of complex systems, are important tools for driving innovation, benchmarking and improving performance, and establishing trust in collaborative human-robot teams. This full-day workshop aims to explore the metrology necessary for repeatably and independently assessing the collaborative performance of robotic systems in real-world human-robot interaction (HRI) scenarios. This workshop aims to bridge the gaps between the theory and applications of HRI in industry, accelerating the adoption of cutting edge technologies as the industry state-of-practice. The interest in collaborative HRI is evident in the current market as well as standards efforts toward manufacturing, social, medical, and service robot solutions. Though these domains have been considered separate for many years, recent technological and scientific advancements show that, while their applications may differ, the underlying principles of HRI performance impact each identically. As such, this workshop seeks to identify test methods and metrics for the holistic assessment and assurance of collaborative HRI performance. The focus is on identifying the key performance indicators of these seemingly disparate sectors, and additionally to establish a community based on the principles of transparency, repeatability, establishing trust in the assessment of collaborative HRI. The goal is to aid in the advancement of HRI technologies through the development of experimental scenarios, protocols, test methods, metrics for the verification and validation of interaction solutions and interface designs.
UR - http://www.scopus.com/inward/record.url?scp=85063990424&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063990424&partnerID=8YFLogxK
U2 - 10.1109/HRI.2019.8673149
DO - 10.1109/HRI.2019.8673149
M3 - Conference contribution
AN - SCOPUS:85063990424
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 696
EP - 697
BT - HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Y2 - 11 March 2019 through 14 March 2019
ER -