|Title||A typology, method and roadmap for HUman-MAchine NEtworks Focusing on human-machine relationship.|
|Description|| In the emerging hyper-connected era, people and appliances are online all the time. In this project we address this era in terms of areas of the Digital Agenda for Europe (DAE): Pillar V Research and Innovation, Pillar VII ICT-enabled benefits for EU society, and DAE sections Content & Media and Science & Technology. We focus on how work, private life, civic engagement, creativity and innovation are increasingly conducted in networks comprising of humans and machines. We term such networks “human-machine networks”.
The overall objective of HUMANE is to improve public and private services by uncovering how new configurations of human-machine networks change patterns of interaction, behaviour, trust and sociability, and how public and private services need to fit the specific networks involved
Increasingly, activities in work and social life are conducted within human-machine networks, where collaboration involves many different actors; governments and organisations, individuals and machines such as smart devices, sensors and computing infrastructure. The targets of these networks can be for policy making, commercial innovation, education, improved quality of life, and information exchange or resource organisation. As networks become more complex and include more connections between humans and machines, so the characteristics of those networks become important in determining the effectiveness and successful evolution of the collaborations which they support. Emerging challenges are: understanding the processes necessary for developing and maintaining human-machine networks such that they are able to deliver their intended outcomes; and applying this knowledge to support emerging networks in public, commercial and civil domains to more readily achieve key European goals.
HUMANE will develop a typology, method and roadmap of human-machine networks focused on characteristics of relationships between networked humans and machines such as trust, motivation, reputation, responsibility, privacy and security.
|End date (actual or expected)||2017/03/31|
|RRI-SSH reference person||Marika Lüders|
|Partners||ATC, University of Oxford, University of Southampton|
|RRI subjects or topics||Ethics, Science Education|
|ICT subjects or topics||Human-machine interaction|
|SSH subjects or topics|
|Other subjects or topics||Privacy, Cybersecurity|
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