The University of Southampton
University of Southampton Institutional Repository

HUMANE D2.1 - Typology and Method v1

HUMANE D2.1 - Typology and Method v1
HUMANE D2.1 - Typology and Method v1
Design for human-machine networks is challenging. To improve our understanding of human-machine networks and strengthen the design of such networks and supporting technologies, a first version of the HUMANE typology and method has been developed. The typology is based on a systematic literature review (HUMANE D1.1), and is structured according to four analytical layers: Actors, interactions, networks, and behaviours; each including two dimensions. Profiling a human-machine network on the dimensions of the HUMANE typology is intended to facilitate access to relevant design knowledge and experience, following a design pattern approach. We provide a first version of a profiling framework and method, and outline associated implications. An early concept for a profiling tool is suggested. This initial version of the typology and method will be applied in the six HUMANE use cases. Experiences from these cases will be used to further refine and develop this approach
HUMANE 2020
Eide, Aslak Wegner
41d2ecdc-7b56-4422-b3f4-e8eca9de5b00
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Garcia Gavilanes, Ruth
8f709b96-d41b-4439-8d45-d381d0c4c556
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Folstad, Asbjorn
bb1a064c-e005-436b-878c-6bd6e41c172e
Eide, Aslak Wegner
41d2ecdc-7b56-4422-b3f4-e8eca9de5b00
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Tsvetkova, Milena
8c1178b4-625f-4495-8ad2-aa443d4f07f4
Garcia Gavilanes, Ruth
8f709b96-d41b-4439-8d45-d381d0c4c556
Yasseri, Taha
f80b4fe6-05ff-4a57-8167-e788b57b74c4
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962

Eide, Aslak Wegner, Pickering, Brian, Tsvetkova, Milena, Garcia Gavilanes, Ruth, Yasseri, Taha and Engen, Vegard , Folstad, Asbjorn (ed.) (2015) HUMANE D2.1 - Typology and Method v1 HUMANE 2020 89pp.

Record type: Monograph (Project Report)

Abstract

Design for human-machine networks is challenging. To improve our understanding of human-machine networks and strengthen the design of such networks and supporting technologies, a first version of the HUMANE typology and method has been developed. The typology is based on a systematic literature review (HUMANE D1.1), and is structured according to four analytical layers: Actors, interactions, networks, and behaviours; each including two dimensions. Profiling a human-machine network on the dimensions of the HUMANE typology is intended to facilitate access to relevant design knowledge and experience, following a design pattern approach. We provide a first version of a profiling framework and method, and outline associated implications. An early concept for a profiling tool is suggested. This initial version of the typology and method will be applied in the six HUMANE use cases. Experiences from these cases will be used to further refine and develop this approach

Text
HUMANE-D2 1_v08 - Version of Record
Download (1MB)

More information

Published date: 21 October 2015
Organisations: IT Innovation

Identifiers

Local EPrints ID: 408440
URI: http://eprints.soton.ac.uk/id/eprint/408440
PURE UUID: a3325537-23a6-40a6-9f62-e4686638c336
ORCID for Brian Pickering: ORCID iD orcid.org/0000-0002-6815-2938

Catalogue record

Date deposited: 20 May 2017 04:04
Last modified: 16 Mar 2024 04:05

Export record

Contributors

Editor: Asbjorn Folstad
Author: Aslak Wegner Eide
Author: Brian Pickering ORCID iD
Author: Milena Tsvetkova
Author: Ruth Garcia Gavilanes
Author: Taha Yasseri
Author: Vegard Engen

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.

×