Publications

@inproceedings{a2ce32713d0c40f88d207a1a221bcd77,

title = {Collaboration and Locality in Crowdsourcing},

author = {Andreas Mladenow and Christine Bauer and Christine Strauss and Michal Gregus},

editor = {F Xhafa and L Barolli},

doi = {10.1109/INCoS.2015.74},

isbn = {978-1-4673-7694-5},

year  = {2015},

date = {2015-10-28},

booktitle = {Proc. of the 7th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2015)},

pages = {1--6},

publisher = {IEEE Computer Society Press},

abstract = {As novel forms of crowdsourcing emerge on the market, we emphasize that the important aspect of location- dependency is more complex than assumed and, thus, suggest a typology along two dimensions of locality: the first dimension refers to whether or not the crowdsourcees interact while being collocated or dispersed; the second dimension refers to the locality of the crowdsourcees in relation to the crowdsourcer's locality (local vs. remote crowd). The resulting four types of crowdsourcing are underpinned by real-world examples. Potential advantages and challenges of the four types are discussed, particularly with respect to motivation and value. The suggested categorization shall provide the necessary basis for future research, as a systematic approach is essential to enable, yield and foster sustainability in a novel interdisciplinary research field like location-based crowdsourcing.},

note = {7th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2015) ; Conference date: 02-09-2015 Through 04-09-2015},

keywords = {BWL, CMI, Collaboration, Collaboration-based Crowdsourcing, Collaborative Systems, crowdsourcing, Location-based Crowdsourcing, PARTICIPATION, Social networks, Taxonomy, Tournament-based Crowdsourcing, Web-based Communities},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ab86b6ecf19e41fea8da7dce9e97fd19,

title = {Fostering collaboration by location-based crowdsourcing},

author = {Christine Bauer and Andreas Mladenow and Christine Strauss},

editor = {Yuhua Luo},

doi = {10.1007/978-3-319-10831-5_13},

isbn = {978-3-319-10830-8},

year  = {2014},

date = {2014-01-01},

booktitle = {Cooperative Design, Visualization and Engineering},

volume = {Cham},

pages = {88--95},

publisher = {Springer International Publishing AG},

series = {Lecture Notes in Computer Science},

abstract = {Crowdsourcing is a recently developed method that relies on variousalternatives of collaboration to solve problems efficiently. Crowdsourcing is arecent development to solve a variety of problems efficiently, and whichimplies various alternatives of collaboration. However, as novel technologiesare able to exploit location-sensing capabilities of mobile devices, locationbasedcrowdsourcing (LBCS) developed as a new concept. This paper suggestsa typology for LBCS as a means for fostering collaboration with the crowdthrough three types of LBCS: confirmation-based, digital good-based, andphysical-based. Each type is underpinned with exemplary applications.Furthermore, opportunities and challenges are analysed; and future trends inLBCS are discussed.},

keywords = {BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology},

pubstate = {published},

tppubtype = {inproceedings}

}