How to validate mobile crowdsourcing design? : leveraging data integration in prototype testing
Luo, Chu; Kuutila, Miikka; Klakegg, Simon; Ferreira, Denzil; Flores, Huber; Goncalves, Jorge; Kostakos, Vassilis; Mäntylä, Mika (2016-09-12)
Chu Luo, Miikka Kuutila, Simon Klakegg, Denzil Ferreira, Huber Flores, Jorge Goncalves, Vassilis Kostakos, and Mika Mäntylä. 2016. How to validate mobile crowdsourcing design? leveraging data integration in prototype testing. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 1448-1453. DOI: https://doi.org/10.1145/2968219.2968586
© Author | ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 1448-1453. DOI: https://doi.org/10.1145/2968219.2968586. Copyright is held by the owner/author(s). Publication rights licensed to ACM. Published in this repository with the kind permission of the publisher.
Mobile crowdsourcing applications often run in dynamic environments. Due to limited time and budget, developers of mobile crowdsourcing applications usually cannot completely test their prototypes in real world situations. We describe a data integration technique for developers to validate their design in prototype testing. Our approach constructs the intended context by combining real-time, historical and simulated data. With correct context-aware design, mobile crowdsourcing applications presenting crowdsourcing questions in relevant context to users are likely to obtain high response quality.
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