Human-Machine Networks: Towards a Typology and Profiling Framework
| Autor: | Milena Tsvetkova, George Bravos, Aslak Wegner Eide, Vegard Engen, Taha Yasseri, Paul Walland, Asbjørn Følstad, Eric T. Meyer, Marika Lüders, J. Brian Pickering |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Typology Knowledge management Computer science business.industry Computer Science - Human-Computer Interaction Computer Science - Social and Information Networks 02 engineering and technology Crisis management Design knowledge Data science Human-Computer Interaction (cs.HC) Computer Science - Computers and Society 020204 information systems Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering Profiling (information science) 020201 artificial intelligence & image processing Human–machine system human-machine networks typology network profiling human-centred design case trials human-computer interaction business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319395098 HCI (1) Lecture Notes in Computer Science-Human-Computer Interaction. Theory, Design, Development and Practice Sygma ZENODO arXiv.org e-Print Archive Lecture Notes in Computer Science Human-Computer Interaction. Theory, Design, Development and Practice. HCI 2016. Lecture Notes in Computer Science, vol 9731 |
| ISSN: | 0302-9743 1611-3349 |
| DOI: | 10.5281/zenodo.48752 |
| Popis: | 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. Pre-print; To be presented at the 18th International Conference on Human-Computer Interaction International, Toronto, Canada, 17 - 22 July 2016 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|