Dynamic Task Allocation for Human-robot Teams

Tinka R. A. Giele, Tina Mioch, Mark A. Neerincx, John-Jules C. Meyer

2015

Abstract

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 team’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.

Paper Citation

in Harvard Style

R. A. Giele T., Mioch T., A. Neerincx M. and C. Meyer J. (2015). Dynamic Task Allocation for Human-robot Teams . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-073-4, pages 117-124. DOI: 10.5220/0005178001170124

in Bibtex Style

@conference{icaart15,
author={Tinka R. A. Giele and Tina Mioch and Mark A. Neerincx and John-Jules C. Meyer},
title={Dynamic Task Allocation for Human-robot Teams},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={117-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005178001170124},
isbn={978-989-758-073-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Dynamic Task Allocation for Human-robot Teams
SN - 978-989-758-073-4
AU - R. A. Giele T.
AU - Mioch T.
AU - A. Neerincx M.
AU - C. Meyer J.
PY - 2015
SP - 117
EP - 124
DO - 10.5220/0005178001170124