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Human-machine networks: towards a typology and profiling framework

Eide, Aslak Wegner, Pickering, J. Brian, Yasseri, Taha, Bravos, George, Følstad, Asbjørn, Engen, Vegard, Tsvetkova, Milena, Meyer, Eric T., 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). 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
Divisions: Methodology
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: 20 Nov 2019 02:25
URI: http://eprints.lse.ac.uk/id/eprint/76880

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