Human Computer Confluence: The Next Generation Humans and Computers Research Agenda

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HCC, Human-Computer Confluence, is an ambitious research program (funded under FP7-ICT) studying how the emerging symbiotic relation between humans and computing devices can enable radically new forms of sensing, perception, interaction, and understanding. The horizontal character of HCC makes it a fascinating and fertile interdisciplinary field, but it can also compromise its growth, with researchers scattered across disciplines and groups worldwide. A coordination activity promoting discipline connect, identity building and integration while defining future research, education and policy directions is needed at the regional, national, European and international level.

The HCC research agenda book “Human Computer Confluence – The Next Generation Humans and Computers Research Agenda” reflects the state of the research agenda as of October 2013. It is published under the acronym “Th. Sc. Community” (“The Scientific Community”), standing for a representative blend of the top leading scientists worldwide in this field. It presents a collection of 26 research challenge position statements solicited via the Solicitation Portal, and is publicly available to the whole scientific community for commenting, assessment and consensus finding.

SmartSociety members that have contributed to this publication include Fausto Giunchiglia, Stuart Anderson, Mark Hartswood, Schahram Dustdar, Ognjen Šćekić and Hong-Linh Truong.

Version

19.0, last change 16. 01. 2014

Legal notice

Lead editor / coordinator

Univ. Prof. Dr. Alois Ferscha
Institute for Pervasive Computing
Johannes Kepler University Linz
Altenberger Straße 69
A-4040 Linz
Email: ferscha@pervasive.jku.at

Assistant editor

Michael Matscheko

Copyright

© Institute for Pervasive Computing, Johannes Kepler University Linz, 2014

Copyright of each article stays with the stated authors. Reproduction, for personal use or for further non-commercial or commercial dissemination, of any part of this document is subject to authorisation from the respective copyright holder.

Acknowledgments

This work was supported under the FP7 ICT FET (Future Enabling Technologies) programme of the European Commission under grant agreement No 258063 (HC2).

ISBN 978-3-200-03344-3

About P. Andreadis

Pre-Doctoral Research Assistant in AI and Social Computation @ University of Edinburgh.

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