The University of Southampton
University of Southampton Institutional Repository

HUMANE D2.2 Typology and method v2

HUMANE D2.2 Typology and method v2
HUMANE D2.2 Typology and method v2
In the HUMANE research project, we aim to support analysis of,
and design for human‐machine networks. Towards this end, we
have developed a HUMANE typology and method. The typology
serves to characterize human‐machine networks on dimensions
pertaining to the level of agency in the actors of the network, the
strength of the relations between the actors, and network
organization and workflow. The method supports profiling
human‐machine networks along these dimensions, to analyse
implications of the network characteristics, identify similar
networks, and enable the transfer of design knowledge and
experience in the form of design patterns. We have applied the
method to conduct initial implication analysis and suggest
potential design patterns of relevance to the six HUMANE cases,
on the basis of their human‐machine network profile.
Furthermore, we have developed the prototype version of a tool
for profiling human‐machine networks and sharing design
knowledge and experience in the form of design patterns.
SINTEF
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Garcia Gavilanes, Ruth
8f709b96-d41b-4439-8d45-d381d0c4c556
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Jaho, Eva
10020635-8e5b-448a-af2d-afe2331ac6cb
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Pultier, Antoine
115162b5-7503-499a-bc2d-e9a013e0625b
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Garcia Gavilanes, Ruth
8f709b96-d41b-4439-8d45-d381d0c4c556
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Jaho, Eva
10020635-8e5b-448a-af2d-afe2331ac6cb
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Pultier, Antoine
115162b5-7503-499a-bc2d-e9a013e0625b

Folstad, Asbjorn, Engen, Vegard, Yasseri, Taha, Garcia Gavilanes, Ruth, Walland, Paul, Tsvetkova, Milena, Jaho, Eva, Pickering, Brian and Pultier, Antoine (2016) HUMANE D2.2 Typology and method v2 SINTEF

Record type: Monograph (Project Report)

Abstract

In the HUMANE research project, we aim to support analysis of,
and design for human‐machine networks. Towards this end, we
have developed a HUMANE typology and method. The typology
serves to characterize human‐machine networks on dimensions
pertaining to the level of agency in the actors of the network, the
strength of the relations between the actors, and network
organization and workflow. The method supports profiling
human‐machine networks along these dimensions, to analyse
implications of the network characteristics, identify similar
networks, and enable the transfer of design knowledge and
experience in the form of design patterns. We have applied the
method to conduct initial implication analysis and suggest
potential design patterns of relevance to the six HUMANE cases,
on the basis of their human‐machine network profile.
Furthermore, we have developed the prototype version of a tool
for profiling human‐machine networks and sharing design
knowledge and experience in the form of design patterns.

Text
HUMANE-D2.2
Download (4MB)

More information

Published date: 31 July 2016

Identifiers

Local EPrints ID: 414276
URI: http://eprints.soton.ac.uk/id/eprint/414276
PURE UUID: ba5dec7a-502e-4ef7-8b6e-79274293c3db
ORCID for Brian Pickering: ORCID iD orcid.org/0000-0002-6815-2938

Catalogue record

Date deposited: 21 Sep 2017 16:31
Last modified: 14 Mar 2019 01:37

Export record

Contributors

Author: Asbjorn Folstad
Author: Vegard Engen
Author: Taha Yasseri
Author: Ruth Garcia Gavilanes
Author: Paul Walland
Author: Milena Tsvetkova
Author: Eva Jaho
Author: Brian Pickering ORCID iD
Author: Antoine Pultier

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.

×