Crowdsourcing with Smartphones

Correction: Crowdsourcing for Cognitive Science – The Utility of Smartphones

There are errors in the author affiliations. The affiliations should appear as shown here: Harriet R. Brown, Peter Zeidman, Peter Smittenaar, Rick A. Adams, Fiona McNab, Robb B. Rutledge, Raymond J. Dolan 1 Oxford Centre for Human Brain Activity, University of Oxford, Oxford, United Kingdom, 2 School of Psychology, University of Birmingham, Birmingham, United Kingdom, 3 Wellcome Trust Centre fo...

Crowdsourcing for Cognitive Science – The Utility of Smartphones

By 2015, there will be an estimated two billion smartphone users worldwide. This technology presents exciting opportunities for cognitive science as a medium for rapid, large-scale experimentation and data collection. At present, cost and logistics limit most study populations to small samples, restricting the experimental questions that can be addressed. In this study we investigated whether t...

Crowdsourcing Based Event Reporting System Using Smartphones with Accurate Localization and Photo Tamper Detection

Perform Three Data Mining Tasks with Crowdsourcing Process

For data mining studies, because of the complexity of doing feature selection process in tasks by hand, we need to send some of labeling to the workers with crowdsourcing activities. The process of outsourcing data mining tasks to users is often handled by software systems without enough knowledge of the age or geography of the users' residence. Uncertainty about the performance of virtual user...

Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets

Ling, S., Mahon, I., Marzloff, M., Pizarro, O., Johnson, C., Williams, S. (2016). Stereo-imaging AUV detects trends in sea urchin abundance on deep overgrazed reefs. Limnology and Oceanography: Methods, 14(5), 293-304. [More Information] Bryson, M., Johnson-Roberson, M., Pizarro, O., Williams, S. (2016). True color correction of autonomous unde...