@inproceedings{quinn2011human, abstract = {The rapid growth of human computation within research and industry has produced many novel ideas aimed at organizing web users to do great things. However, the growth is not adequately supported by a framework with which to understand each new system in the context of the old. We classify human computation systems to help identify parallels between different systems and reveal "holes" in the existing work as opportunities for new research. Since human computation is often confused with "crowdsourcing" and other terms, we explore the position of human computation with respect to these related topics.}, acmid = {1979148}, address = {New York, NY, USA}, author = {Quinn, Alexander J. and Bederson, Benjamin B.}, booktitle = {Proceedings of the 2011 annual conference on Human factors in computing systems}, doi = {10.1145/1978942.1979148}, interhash = {f319e8c67a7af1afd804774ccba7b717}, intrahash = {3524eeb1e7a62c5bfbe0cec74a14af21}, isbn = {978-1-4503-0228-9}, location = {Vancouver, BC, Canada}, numpages = {10}, pages = {1403--1412}, publisher = {ACM}, title = {Human computation: a survey and taxonomy of a growing field}, url = {http://doi.acm.org/10.1145/1978942.1979148}, year = 2011 } @inproceedings{hristova2012mapping, abstract = {Communities of people are better mappers if they are spatially clustered, as revealed in an interesting new paper by Hristova, Mashhadi, Quattrone and Capra from UCL. "This preliminary analysis inspires further inquiry because it shows a clear correlation between spatial affiliation, the internal community structure and the community’s engagement in terms of coverage", according to the authors. They have studied the similarity patterns among eight hundred contributors to OpenStreetMap, the well-known crowdmapping project and detected the hidden community structure. It is a very promising field of research, coupling a social network analysis of crowdsourced data. Participants to such projects are rarely independent individuals: in most cases, they involve communities more than single participants and it would be crucial to uncover how the underlying social structure reflects on the quantity and the quality of the collected data. It has the greatest relevance for citizen science projects, as data quality is often the key issue determining the success or the failure of the collective effort. }, author = {Hristova, Desislava and Mashhadi, Afra and Quattrone, Giovanni and Capra, Licia}, booktitle = {Proc. When the City Meets the Citizen Workshop (WCMCW)}, interhash = {373e02fe56d30b26261a33135e0b7a45}, intrahash = {f0a69ac56b94a471b470ebd56545fafd}, month = jun, title = {Mapping Community Engagement with Urban Crowd-Sourcing}, url = {http://www.cs.ucl.ac.uk/staff/l.capra/publications/wcmcw12.pdf}, year = 2012 } @inproceedings{hristova2012mapping, abstract = {Communities of people are better mappers if they are spatially clustered, as revealed in an interesting new paper by Hristova, Mashhadi, Quattrone and Capra from UCL. "This preliminary analysis inspires further inquiry because it shows a clear correlation between spatial affiliation, the internal community structure and the community’s engagement in terms of coverage", according to the authors. They have studied the similarity patterns among eight hundred contributors to OpenStreetMap, the well-known crowdmapping project and detected the hidden community structure. It is a very promising field of research, coupling a social network analysis of crowdsourced data. Participants to such projects are rarely independent individuals: in most cases, they involve communities more than single participants and it would be crucial to uncover how the underlying social structure reflects on the quantity and the quality of the collected data. It has the greatest relevance for citizen science projects, as data quality is often the key issue determining the success or the failure of the collective effort. }, author = {Hristova, Desislava and Mashhadi, Afra and Quattrone, Giovanni and Capra, Licia}, booktitle = {Proc. When the City Meets the Citizen Workshop (WCMCW)}, interhash = {373e02fe56d30b26261a33135e0b7a45}, intrahash = {f0a69ac56b94a471b470ebd56545fafd}, month = jun, title = {Mapping Community Engagement with Urban Crowd-Sourcing}, url = {http://www.cs.ucl.ac.uk/staff/l.capra/publications/wcmcw12.pdf}, year = 2012 } @inproceedings{ls_leimeister, address = {Shanghai, China}, author = {Blohm, I. and Riedl, C. and Leimeister, J. M. and Krcmar, H.}, booktitle = {32. International Conference on Information Systems}, interhash = {8c2c9954da066c721858314f7d6a08a7}, intrahash = {62f04d200a89ec49c0d9b2efe973a27a}, number = 32, pages = {1-24}, title = {Idea Evaluation Mechanisms for Collective Intelligence in Open Innovation Communities: Do Traders outperform Raters?}, url = {http://pubs.wi-kassel.de/wp-content/uploads/2013/03/JML_304.pdf}, year = 2011 } @inproceedings{ls_leimeister, address = {Bonn, Germany}, author = {Huber, M. J. and Bretschneider, U. and Leimeister, J. M. and Krcmar, H.}, booktitle = {International Reports on Socio-Informatics - Open Design Spaces Supporting User Innovation. International Workshop on Open Design Spaces (ODS) 2009}, editor = {Pipek, V. and Rohde, M.}, interhash = {5517901e4891039d9411bf0675786628}, intrahash = {7143e141fbc702b9b85c3c108c7cb11f}, note = {140 (24-09)}, title = {Making innovation happen: Tool-support for software related communities for innovations}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_126.pdf}, year = 2009 } @article{ls_leimeister, author = {Leimeister, J. M. and Huber, M. and Bretschneider, U. and Krcmar, H.}, interhash = {d19c11633bdc1c5431ae87ae327cc224}, intrahash = {4f677bc3f6cd3fe0bdee234a8813fc73}, journal = {Journal of Management Information Systems (JMIS)}, note = {138 (22-09)}, number = 1, pages = {197-224}, title = {Leveraging Crowdsourcing: Activation-Supporting components for IT-based ideas competition}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_124.pdf}, volume = 26, year = 2009 } @inproceedings{ls_leimeister, address = {Bilbao, Spain}, author = {Blohm, I. and Fähling, J. and Leimeister, J. M. and Krcmar, H. and Fischer, J.}, booktitle = {22. ISPIM Conference 2010}, interhash = {9fa366d690b0820bac4b867269a14dba}, intrahash = {e98feabe5b9628669d1f269885002d01}, note = {196 (44-10)}, number = 22, title = {Accelerating customer integration into innovation processes using Pico-Jobs}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_196.pdf}, year = 2010 } @inproceedings{ls_leimeister, address = {Shanghai, China}, author = {Blohm, I. and Riedl, C. and Leimeister, J. M. and Krcmar, H.}, booktitle = {International Conference on Information Systems 2011 (ICIS) 2011}, interhash = {8c2c9954da066c721858314f7d6a08a7}, intrahash = {bab885c4b0a9bfcaaae883cd1d58f4f5}, note = {286 (49-11)}, pages = {1-24}, title = {Idea Evaluation Mechanisms for Collective Intelligence in Open Innovation Communities: Do Traders outperform Raters?}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_286.pdf}, year = 2011 } @inbook{ls_leimeister, author = {Fähling, J. and Blohm, I. and Leimeister, J. M. and Krcmar, H. and Fischer, J.}, booktitle = {International Journal of Technology Marketing}, edition = 6, interhash = {8ea8daa11944f66c4fcc2f602ec411c3}, intrahash = {7fda9d1bb7d58369fdc2195b956ebb87}, note = {289 (52-11)}, number = 2, pages = {130-147}, title = {Accelerating Customer Integration into Innovation Processes using Pico Jobs}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_289.pdf}, year = 2011 } @incollection{ls_leimeister, author = {Fähling, J. and Blohm, I. and Leimeister, J. M. and Krcmar, H. and Fischer, J.}, booktitle = {International Journal of Technology Marketing}, edition = 6, interhash = {8ea8daa11944f66c4fcc2f602ec411c3}, intrahash = {96460b1195556ae4d4609436927e0834}, note = {289 (52-11)}, number = 2, pages = {130-147}, title = {Accelerating Customer Integration into Innovation Processes using Pico Jobs}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_289.pdf}, year = 2011 }