HUMANE D1.1 Systematic Literature Review

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.

More information

Identifiers

ORCID for Brian Pickering: orcid.org/0000-0002-6815-2938

Catalogue record

Export record