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HUMANE D1.1 Systematic Literature Review

HUMANE D1.1 Systematic Literature Review
HUMANE D1.1 Systematic Literature Review
The report reviews current research of relevance to human-­‐machine networks (HMNs). Focusing initially on the interactions among humans and between humans and machines, we identify eight initial types of HMNs: public-­‐resource computing, crowdsourcing, web search engines, crowd sensing, online markets, social media, multiplayer online games and virtual worlds, and mass collaboration. We systematically select literature on each of these initial types and review it with a focus on design implications. Our discussion helps identify opportunities for designing and developing new kinds of HMNs. Using this as a basis, we then abstract a set of connection primitives to be used to design and define HMNs. We validate this initial set of primitives on the basis of one of the HUMANE use cases, and then against three further use cases not within the original HUMANE set for independent validation. Drawing together the initial types and the connection primitives, we finish off with a brief discussion of the implications of complex HMNs in terms of the behaviours and interactions that are described in this way. We also discuss how the limitations of our approach suggest directions towards a more bottom-­‐up and flexible typology.
HUMANE Consortium
Pickering, Brian
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Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Luders, Marika
da168177-a5a4-48b1-8037-ebc49b1eb914
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Luders, Marika
da168177-a5a4-48b1-8037-ebc49b1eb914
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4

Pickering, Brian, Yasseri, Taha, Engen, Vegard, Walland, Paul and Luders, Marika , Tsvetkova, Milena (ed.) (2016) HUMANE D1.1 Systematic Literature Review HUMANE Consortium 81pp.

Record type: Monograph (Project Report)

Abstract

The report reviews current research of relevance to human-­‐machine networks (HMNs). Focusing initially on the interactions among humans and between humans and machines, we identify eight initial types of HMNs: public-­‐resource computing, crowdsourcing, web search engines, crowd sensing, online markets, social media, multiplayer online games and virtual worlds, and mass collaboration. We systematically select literature on each of these initial types and review it with a focus on design implications. Our discussion helps identify opportunities for designing and developing new kinds of HMNs. Using this as a basis, we then abstract a set of connection primitives to be used to design and define HMNs. We validate this initial set of primitives on the basis of one of the HUMANE use cases, and then against three further use cases not within the original HUMANE set for independent validation. Drawing together the initial types and the connection primitives, we finish off with a brief discussion of the implications of complex HMNs in terms of the behaviours and interactions that are described in this way. We also discuss how the limitations of our approach suggest directions towards a more bottom-­‐up and flexible typology.

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HUMANE-D1 1-review-v08_final - Version of Record
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More information

Published date: 15 August 2016
Organisations: IT Innovation

Identifiers

Local EPrints ID: 408442
URI: http://eprints.soton.ac.uk/id/eprint/408442
PURE UUID: bb1d4a01-bd2a-4f31-9bc9-9c127fa067cc
ORCID for Brian Pickering: ORCID iD orcid.org/0000-0002-6815-2938

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Date deposited: 20 May 2017 04:04
Last modified: 30 Jul 2020 01:38

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Contributors

Author: Brian Pickering ORCID iD
Author: Taha Yasseri
Author: Vegard Engen
Author: Paul Walland
Author: Marika Luders
Editor: Milena Tsvetkova

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