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Experimental Evaluation of a Scalable Mixed-Initiative Planning Associate for Future Military Helicopter Missions

  • Fabian Schmitt
  • Axel Schulte
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10906)

Abstract

This article describes a scalable mixed-initiative planning concept, in which a human pilot is assisted during mission (re-)planning by an artificial planning agent. The agent serves as an additional team member and enables rapid planning and re-planning of multiple vehicles. For this purpose, the agent adapts its extent of assistance based on the necessity of the given situation. The concept was implemented for the use case of manned-unmanned teaming in future military helicopter missions. Thereby, the mixed-initiative agent was implemented with three different levels of automation. The article focuses on the experimental evaluation with German military helicopter pilots. Results show the advantages of the scalable mixed-initiative concept especially in time critical and high workload situations.

Keywords

AI systems Associate systems Mixed-initiative Problem solving 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Flight SystemsUniversity Bundeswehr MunichNeubibergGermany

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