Eide, Aslak Wegner, Pickering, J. Brian, Yasseri, Taha, Bravos, George, Følstad, Asbjørn, Engen, Vegard, Tsvetkova, Milena 
ORCID: 0000-0002-3552-108X, 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 (Firm), Cham, Switzerland, pp. 11-22.
ISBN 9783319395098
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 |
| Date Deposited: | 15 May 2017 08:37 |
| Last Modified: | 01 Apr 2024 08:06 |
| URI: | http://eprints.lse.ac.uk/id/eprint/76880 |
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