Efficient human-machine networks require productive interaction between human and machine actors. In this study, we address how a strengthening of machine agency, for example through increasing levels of automation, affect the human actors of the networks. Findings from case studies within air traffic management, crisis management, and crowd evacuation are presented, exemplifying how automation may strengthen the agency of human actors in the network through responsibility sharing and task allocation, and serve as a needed prerequisite of innovation and change.
@article{arxiv.1702.07480,
title = {Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency},
author = {Asbjørn Følstad and Vegard Engen and Ida Maria Haugstveit and Brian Pickering},
journal= {arXiv preprint arXiv:1702.07480},
year = {2017}
}