Dynamic Task Allocation for Human-Robot Teams
| Autor: | Giele, T.R.A., Mioch, T., Neerincx, M.A., Meyer, J.J.Ch., Loiseau, S., Filipe, J., Duval, B., van den Herik, H.J., Sub Intelligent Systems, Intelligent Systems |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | Proceedings of the International Conference on Agents and Artificial Intelligence, 2015, Lisbon, Portugal, 1, 117. SciTePress ICAART (1) |
| Popis: | Artificial agents, such as robots, are increasingly deployed for teamwork in dynamic, high-demand environments. This paper presents a framework, which applies context information to establish task (re)allocations that improve human-robot teamâ??s performance. Based on the framework, a model for adaptive automation was designed that takes the cognitive task load (CTL) of a human team member and the coordination costs of switching to a new task allocation into account. Based on these two context factors, it tries to optimize the level of autonomy of a robot for each task. The model was instantiated for a single human agent cooperating with a single robot in the urban search and rescue domain. A first experiment provided encouraging results: the cognitive task load of participants mostly reacted to the model as intended. Recommendations for improving the model are provided, such as adding more context information. |
| Databáze: | OpenAIRE |
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