Human-machine networks: Towards a typology and profiling framework

Aslak Wegner Eide; J. Brian Pickering; Taha Yasseri; George Bravos; Asbjørn Følstad; Vegard Engen; Milena Tsvetkova; Eric T. Meyer; Paul Walland; Marika Lüders

doi:10.1007/978-3-319-39510-4_2

Human-machine networks: Towards a typology and profiling framework

Aslak Wegner Eide, J. Brian Pickering, Taha Yasseri, George Bravos, Asbjørn Følstad, Vegard Engen, Milena Tsvetkova, Eric T. Meyer, Paul Walland, Marika Lüders

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 humanmachine 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 peerto- peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings
Editors	Masaaki Kurosu
Publisher	Springer Verlag
Pages	11-22
Number of pages	12
ISBN (Print)	9783319395098
DOIs	https://doi.org/10.1007/978-3-319-39510-4_2
Publication status	Published - 2016
Externally published	Yes
Event	18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9731
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Human-Computer Interaction, HCI International 2016
Country/Territory	Canada
City	Toronto
Period	17/07/16 → 22/07/16

Keywords

Case trials
Human-centred design
Human-computer interaction
Human-machine networks
Network profiling
Typology

Access to Document

10.1007/978-3-319-39510-4_2

Cite this

Eide, A. W., Pickering, J. B., Yasseri, T., Bravos, G., Følstad, A., Engen, V., Tsvetkova, M., Meyer, E. T., Walland, P., & Lüders, M. (2016). Human-machine networks: Towards a typology and profiling framework. In M. Kurosu (Ed.), Human-Computer Interaction: Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings (pp. 11-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9731). Springer Verlag. https://doi.org/10.1007/978-3-319-39510-4_2

Eide, Aslak Wegner ; Pickering, J. Brian ; Yasseri, Taha et al. / Human-machine networks : Towards a typology and profiling framework. Human-Computer Interaction: Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings. editor / Masaaki Kurosu. Springer Verlag, 2016. pp. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Human-machine networks: Towards a typology and profiling framework",

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 humanmachine 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 peerto- peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.",

keywords = "Case trials, Human-centred design, Human-computer interaction, Human-machine networks, Network profiling, Typology",

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note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",

year = "2016",

doi = "10.1007/978-3-319-39510-4\_2",

language = "English",

isbn = "9783319395098",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Eide, AW, Pickering, JB, Yasseri, T, Bravos, G, Følstad, A, Engen, V, Tsvetkova, M, Meyer, ET, Walland, P & Lüders, M 2016, Human-machine networks: Towards a typology and profiling framework. in M Kurosu (ed.), Human-Computer Interaction: Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9731, Springer Verlag, pp. 11-22, 18th International Conference on Human-Computer Interaction, HCI International 2016, Toronto, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-39510-4_2

Human-machine networks: Towards a typology and profiling framework. / Eide, Aslak Wegner; Pickering, J. Brian; Yasseri, Taha et al.
Human-Computer Interaction: Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings. ed. / Masaaki Kurosu. Springer Verlag, 2016. p. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9731).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Human-machine networks

T2 - 18th International Conference on Human-Computer Interaction, HCI International 2016

AU - Eide, Aslak Wegner

AU - Pickering, J. Brian

AU - Yasseri, Taha

AU - Bravos, George

AU - Følstad, Asbjørn

AU - Engen, Vegard

AU - Tsvetkova, Milena

AU - Meyer, Eric T.

AU - Walland, Paul

AU - Lüders, Marika

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - 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 humanmachine 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 peerto- peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.

AB - 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 humanmachine 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 peerto- peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.

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KW - Human-centred design

KW - Human-computer interaction

KW - Human-machine networks

KW - Network profiling

KW - Typology

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DO - 10.1007/978-3-319-39510-4_2

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AN - SCOPUS:84978808468

SN - 9783319395098

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 11

EP - 22

BT - Human-Computer Interaction

A2 - Kurosu, Masaaki

PB - Springer Verlag

Y2 - 17 July 2016 through 22 July 2016

ER -

Eide AW, Pickering JB, Yasseri T, Bravos G, Følstad A, Engen V et al. Human-machine networks: Towards a typology and profiling framework. In Kurosu M, editor, Human-Computer Interaction: Theory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings. Springer Verlag. 2016. p. 11-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39510-4_2

Human-machine networks: Towards a typology and profiling framework

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Keywords

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