Conference item
Human-machine networks: towards a typology and profiling framework
- Abstract:
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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 im...
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- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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- Files:
-
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(Accepted manuscript, pdf, 461.6KB)
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- Publisher copy:
- 10.1007/978-3-319-39510-4_2
Authors
Funding
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- Human-Computer Interaction. Theory, Design, Development and Practice - Proceedings of the 18th International Conference (HCI 2016)
- Series:
- Lecture Notes in Computer Science
- Journal:
- Human-Computer Interaction. Theory, Design, Development and Practice - Proceedings of the 18th International Conference (HCI 2016) Journal website
- Volume:
- 9731
- Pages:
- 11-22
- Publication date:
- 2016-06-19
- DOI:
- EISSN:
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1611-3349
- ISSN:
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0302-9743
- ISBN:
- 9783319395098
Item Description
- Keywords:
- Pubs id:
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pubs:607171
- UUID:
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uuid:41789152-a236-4b88-a36d-4d69a8c5fa06
- Local pid:
- pubs:607171
- Source identifiers:
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607171
- Deposit date:
- 2016-03-02
Terms of use
- Copyright holder:
- Springer International Publishing Switzerland
- Copyright date:
- 2016
- Notes:
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Pre-print; To be presented at the 18th International Conference on
Human-Computer Interaction International, Toronto, Canada, 17 - 22 July 2016 © Springer International Publishing Switzerland 2016. This paper was first presented at 18th International Conference, HCI International 2016, Toronto, ON, Canada, July 17-22, 2016. This is the accepted manuscript version of the article. The final version is available online from Springer at: 10.1007/978-3-319-39510-4_2
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