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Human-machine networks: Towards a typology and profiling framework.

Eide, A.W., Pickering, J.B., Yasseri, T., Bravos, G., Følstad, A., Engen, V., Tsvetkova, M., Meyer, E.T., Walland, P. and Lüders, M., 2016. Human-machine networks: Towards a typology and profiling framework. In: HCI International Conference on Human-Computer Interaction, 17-22 July 2016, Toronto, Canada, 11 - 22.

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1602.07199.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


Official URL:

DOI: 10.1007/978-3-319-39510-4_2


© Springer International Publishing Switzerland 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 humanmachine 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 peerto- 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:Conference or Workshop Item (Paper)
Additional Information:This work has been conducted as part of the HUMANE project (, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 645043. Part of the Lecture Notes in Computer Science book series (LNCS, volume 9731)
Uncontrolled Keywords:Human-machine networks; Typology; Network profiling; Human-centred design; Case trials; Human-computer interaction
Group:Faculty of Science & Technology
ID Code:33673
Deposited By: Symplectic RT2
Deposited On:10 Mar 2020 15:43
Last Modified:14 Mar 2022 14:20


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