Current Projects at MIT
Generalizable Classes and Selection Methodologies for Human Supervisory Control Metrics
Measuring multiple human-computer system aspects, such as the situational awareness of the human, can be valuable in diagnosing performance successes and failures, and identifying effective training and design interventions. However, choosing an efficient set of metrics for a given human supervisory control experiment is a challenge. This research aims to develop a principled approach to evaluate and select the most efficient set of metrics among the large number of available metrics. As part of this effort, a taxonomy of human supervisory metrics have been developed, followed by the identification of metric evaluation criteria that can help determine the quality of a metric in terms of experimental constraints, comprehensive understanding, construct validity, statistical efficiency, and measurement technique efficiency. Future research will build on these evaluation criteria and the generic metric classes to develop a cost-benefit analysis approach that can be used for metric selection.
Modified Cooper-Harper for Unmanned Vehicle Displays (MCH-UVD)
The Cooper-Harper Scale is a 10 point quasi-subjective scale developed in 1957. The scale was developed to get standardized reporting from test pilots on the controllability of the aircraft being evaluated. The focus of MCH-UVD project is to develop a similar scale for evaluating unmanned vehicle displays. The objective is to have a standard tool for troops in the field to identify unmanned vehicle display deficiencies. Modified Cooper Harper Scale is intended to serve as an instrument for the DoD to compare displays when acquiring new software and to provide designers with further guidelines on what the troops in the field need. An experiment is underway to validate this scale using unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) simulators, in collaboration with the Robotics Institute at Carnegie Mellon University and Aurora Flight Sciences Corporation.
Sponsored by U.S. Army Aberdeen Test Center