For mixed-initiative control between cyber-physical systems (CPS) and its users, it is still an open question how machines can safely hand over control to humans. In this work, we propose a concept to provide technological support that uses formal methods from AI -- description logic (DL) and automated planning -- to predict more reliably when a hand-over is necessary, and to increase the advance notice for handovers by planning ahead of runtime. We combine this with methods from human-computer interaction (HCI) and natural language generation (NLG) to develop solutions for safe and smooth handovers and provide an example autonomous driving scenario. A study design is proposed with the assessment of qualitative feedback, cognitive load and trust in automation.
@article{arxiv.2010.10967,
title = {Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems},
author = {Frederik Wiehr and Anke Hirsch and Florian Daiber and Antonio Kruger and Alisa Kovtunova and Stefan Borgwardt and Ernie Chang and Vera Demberg and Marcel Steinmetz and Hoffmann Jorg},
journal= {arXiv preprint arXiv:2010.10967},
year = {2020}
}