This is code for an urban-search-and-rescue task that can be performed by different agents. Agents can be human-controlled or programmed. This task was designed to perform human-agent teaming research. More specifically, is was used to study co-learning as an important mechanism within human-agent teaming, using a Wizard-of-Oz method. A detailed description of the task and the research it was used for can be found in the following published paper:
Schoonderwoerd, T. A., Van Zoelen, E. M., van den Bosch, K., & Neerincx, M. A. (2022). Design patterns for human-AI co-learning: A wizard-of-Oz evaluation in an urban-search-and-rescue task. International Journal of Human-Computer Studies, 164, 102831.
https://doi.org/10.1016/j.ijhcs.2022.102831
Warning
This code uses an old and deprecated version of MATRX. For a more up-to-date version of a similar USAR task, see the new experiment here.