Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency

Abstract

© 2018, Springer International Publishing AG. 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, emergency management, and crowd evacuation are presented, shedding light on 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.

Original document

The different versions of the original document can be found in:

• http://arxiv.org/abs/1702.07480

• http://eprints.bournemouth.ac.uk/33669/1/1702.07480.pdf

• http://link.springer.com/content/pdf/10.1007/978-3-319-67792-7_8,

http://dx.doi.org/10.1007/978-3-319-67792-7_8 under the license http://www.springer.com/tdm

• https://dblp.uni-trier.de/db/journals/corr/corr1702.html#FolstadEHP17,

https://arxiv.org/abs/1702.07480,

https://link.springer.com/chapter/10.1007/978-3-319-67792-7_8,

https://ui.adsabs.harvard.edu/abs/2017arXiv170207480F/abstract,

http://eprints.bournemouth.ac.uk/33669,

https://eprints.soton.ac.uk/412722,

http://dblp.uni-trier.de/db/journals/corr/corr1702.html#FolstadEHP17,

https://academic.microsoft.com/#/detail/2592753114