| Autor: |
Marvel, Jeremy, Bagchi, Shelly, Zimmerman, Megan, Nguyen, Vinh, Aksu, Murat, Antonishek, Brian, Case, Jennifer, Amor, Heni Ben, Fong, Terry, Mead, Ross, Norton, Adam, Yue Wang |
| Předmět: |
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| Zdroj: |
ACM/IEEE International Conference on Human-Robot Interaction; Mar2022, p1272-1274, 3p |
| Abstrakt: |
The drive for increasing adoption of HRI technologies is evident through research and development of manufacturing, 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 realworld 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 various sectors in the HRI research community including academia, industry, and government in order to accomplish its aims. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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