TY - GEN
T1 - 4th Annual Workshop on Test Methods and Metrics for Effective HRI
AU - Marvel, Jeremy
AU - Bagchi, Shelly
AU - Zimmerman, Megan
AU - Nguyen, Vinh
AU - Aksu, Murat
AU - Antonishek, Brian
AU - Case, Jennifer
AU - Amor, Heni Ben
AU - Fong, Terry
AU - Mead, Ross
AU - Norton, Adam
AU - Wang, Yue
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The drive for increasing adoption of HRI technolo-gies is evident through research and development of manufac-turing, social, medical, and service robot solutions. However, novel methods and metrics are required to overcome the barrier between fundamental HRI research and its adoption in real-world environments. Hence, the fourth installment of the annual workshop, 'Test Methods and Metrics for Effective HRI,' seeks to identify novel and emerging test methods and metrics for the holistic assessment and assurance of HRI performance. Specifically, the focus is on identifying innovative 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 break the boundaries between the development and adoption of HRI technologies through the promotion of robust experimental design, test methods, and metrics for assessing interaction and interface designs. This workshop will have participants from var-ious sectors in the HRI research community including academia, industry, and government in order to accomplish its aims.
AB - The drive for increasing adoption of HRI technolo-gies is evident through research and development of manufac-turing, social, medical, and service robot solutions. However, novel methods and metrics are required to overcome the barrier between fundamental HRI research and its adoption in real-world environments. Hence, the fourth installment of the annual workshop, 'Test Methods and Metrics for Effective HRI,' seeks to identify novel and emerging test methods and metrics for the holistic assessment and assurance of HRI performance. Specifically, the focus is on identifying innovative 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 break the boundaries between the development and adoption of HRI technologies through the promotion of robust experimental design, test methods, and metrics for assessing interaction and interface designs. This workshop will have participants from var-ious sectors in the HRI research community including academia, industry, and government in order to accomplish its aims.
KW - Test methods and metrics
KW - benchmarking
KW - data sets
KW - performance measures
KW - repeatability studies
KW - use cases
UR - http://www.scopus.com/inward/record.url?scp=85140767152&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140767152&partnerID=8YFLogxK
U2 - 10.1109/HRI53351.2022.9889647
DO - 10.1109/HRI53351.2022.9889647
M3 - Conference contribution
AN - SCOPUS:85140767152
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 1272
EP - 1274
BT - HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Y2 - 7 March 2022 through 10 March 2022
ER -