The University of Southampton
University of Southampton Institutional Repository

Human-Machine networks: towards a typology and profiling framework

Human-Machine networks: towards a typology and profiling framework
Human-Machine networks: towards a typology and profiling framework
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
human-machine networks, typology, network profiling, human-centred design, case trials, human-computer interaction
Springer Verlag
Eide, Aslak Wegner
41d2ecdc-7b56-4422-b3f4-e8eca9de5b00
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Bravos, George
3e9aac2e-1a72-4f47-aaee-5295d55a0432
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Meyer, Eric
52c7ac3b-632b-44fb-a53a-ca834aae421f
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Luders, Marika
da168177-a5a4-48b1-8037-ebc49b1eb914
Eide, Aslak Wegner
41d2ecdc-7b56-4422-b3f4-e8eca9de5b00
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Bravos, George
3e9aac2e-1a72-4f47-aaee-5295d55a0432
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Meyer, Eric
52c7ac3b-632b-44fb-a53a-ca834aae421f
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Luders, Marika
da168177-a5a4-48b1-8037-ebc49b1eb914

Eide, Aslak Wegner, Pickering, Brian, Yasseri, Taha, Bravos, George, Folstad, Asbjorn, Engen, Vegard, Tsvetkova, Milena, Meyer, Eric, Walland, Paul and Luders, Marika (2016) Human-Machine networks: towards a typology and profiling framework. In Human-Machine Networks: Towards a Typology and Profiling Framework. Springer Verlag..

Record type: Conference or Workshop Item (Paper)

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

Full text not available from this repository.

More information

Accepted/In Press date: 11 December 2015
Published date: 2016
Venue - Dates: 2016 HCI international conference, Canada, 2016-07-17 - 2016-07-22
Keywords: human-machine networks, typology, network profiling, human-centred design, case trials, human-computer interaction

Identifiers

Local EPrints ID: 414269
URI: http://eprints.soton.ac.uk/id/eprint/414269
PURE UUID: 056263f7-68ab-457d-b073-b0405963cec4
ORCID for Brian Pickering: ORCID iD orcid.org/0000-0002-6815-2938

Catalogue record

Date deposited: 21 Sep 2017 16:31
Last modified: 17 Dec 2019 01:40

Export record

Contributors

Author: Aslak Wegner Eide
Author: Brian Pickering ORCID iD
Author: Taha Yasseri
Author: George Bravos
Author: Asbjorn Folstad
Author: Vegard Engen
Author: Milena Tsvetkova
Author: Eric Meyer
Author: Paul Walland
Author: Marika Luders

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×