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Human-machine networks: towards a typology and profiling framework

Eide, Aslak Wegner and Pickering, J. Brian and Yasseri, Taha and Bravos, George and Følstad, Asbjørn and Engen, Vegard and Tsvetkova, Milena and Meyer, Eric T. and Walland, Paul and Lüders, Marika (2016) Human-machine networks: towards a typology and profiling framework. In: Kurosu, Masaaki, (ed.) Human-Computer Interaction: Theory, Design, Development and Practice. Information systems and applications, incl. Internet/Web, and HCI,9731 (9731). Springer International Publishing, Cham, Switzerland, pp. 11-22. ISBN 9783319395098

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Identification Number: 10.1007/978-3-319-39510-4_2

Abstract

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.

Item Type: Book Section
Official URL: http://www.springer.com/
Additional Information: © 2016 Springer International Publishing Switzerland
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Sets: Departments > Methodology
Date Deposited: 15 May 2017 08:37
Last Modified: 15 May 2017 08:37
URI: http://eprints.lse.ac.uk/id/eprint/76880

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