Cristin-resultat-ID: 1445656
Sist endret: 2. februar 2017, 14:53
NVI-rapporteringsår: 2016
Resultat
Vitenskapelig artikkel
2016

Human-machine networks: Towards a typology and profiling framework

Bidragsytere:
  • Aslak Wegner Eide
  • J Brian Pickering
  • Taha Yasseri
  • George Bravos
  • Asbjørn Følstad
  • Vegard Engen
  • mfl.

Tidsskrift

Lecture Notes in Computer Science (LNCS)
ISSN 0302-9743
e-ISSN 1611-3349
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2016
Volum: 9731
Sider: 11 - 22

Importkilder

Scopus-ID: 2-s2.0-84978808468

Beskrivelse Beskrivelse

Tittel

Human-machine networks: Towards a typology and profiling framework

Sammendrag

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.

Bidragsytere

Aslak Wegner Eide

  • Tilknyttet:
    Forfatter
    ved Sustainable Communication Technologies ved SINTEF AS

J Brian Pickering

  • Tilknyttet:
    Forfatter
    ved University of Southampton

Taha Yasseri

  • Tilknyttet:
    Forfatter
    ved University of Oxford

George Bravos

  • Tilknyttet:
    Forfatter
    ved Hellas

Asbjørn Følstad

  • Tilknyttet:
    Forfatter
    ved Sustainable Communication Technologies ved SINTEF AS
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