Publications
2014
Bauer, Christine; Mladenow, Andreas; Strauss, Christine
Fostering collaboration by location-based crowdsourcing Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization and Engineering, S. 88–95, Springer International Publishing AG, 2014, ISBN: 978-3-319-10830-8.
Abstract | Links | BibTeX | Schlagwörter: BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology
@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}
}
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.