Human-Machine Networks: Towards A Typology And Profiling Framework
Aslak Wegner Eide, Brian Pickering, Taha Yasseri, George N. Bravos, Asbjørn Følstad, Vegard Engen, Milena Tsvetkova, Eric T. Meyer, Paul Walland, Marika Hanne Lüders · Bournemouth University Research Online (Bournemouth University) · 2016
In this paper we outline an initial typology and framework for the purpose of profiling human-machine networks, that is, collective structures where humans and machines interact to produce synergistic effects. Profiling a human-machine network along the dimensions of the typology is intended to facilitate access to relevant design knowledge and experience. In this way the profiling of an envisioned or existing human-machine network will both facilitate relevant design discussions and, more importantly, serve to identify the network type. We present experiences and results from two case trials: a crisis management system and a peer-to-peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.