Visible to the public Common Metrics to Benchmark Human-Machine Teams (HMT): A ReviewConflict Detection Enabled

TitleCommon Metrics to Benchmark Human-Machine Teams (HMT): A Review
Publication TypeJournal Article
Year of Publication2018
AuthorsP. Damacharla, A. Y. Javaid, J. J. Gallimore, V. K. Devabhaktuni
JournalIEEE Access
Keywordsautonomous system, benchmark HMT, benchmark human-machine teams, Benchmark testing, Benchmarking, C3E 2019, Collaboration, Computer architecture, human computer interaction, human factors, Human Machine Teaming, human-machine teaming, human-machine teaming (HMT), Man-machine systems, Measurement, metric classification, metric identification, Metrics, pattern classification, Performance Metrics, quantification, Robotics, robots, Task Analysis, team working

A significant amount of work is invested in human-machine teaming (HMT) across multiple fields. Accurately and effectively measuring system performance of an HMT is crucial for moving the design of these systems forward. Metrics are the enabling tools to devise a benchmark in any system and serve as an evaluation platform for assessing the performance, along with the verification and validation, of a system. Currently, there is no agreed-upon set of benchmark metrics for developing HMT systems. Therefore, identification and classification of common metrics are imperative to create a benchmark in the HMT field. The key focus of this review is to conduct a detailed survey aimed at identification of metrics employed in different segments of HMT and to determine the common metrics that can be used in the future to benchmark HMTs. We have organized this review as follows: identification of metrics used in HMTs until now, and classification based on functionality and measuring techniques. Additionally, we have also attempted to analyze all the identified metrics in detail while classifying them as theoretical, applied, real-time, non-real-time, measurable, and observable metrics. We conclude this review with a detailed analysis of the identified common metrics along with their usage to benchmark HMTs.

Citation Key8404030