Combining Crowdsourcing and Crowdsensing to Infer the Spatial Context

How smartphones can empower users is a relevant topic in areas such as crowdsensing and crowdsourcing. However, to be able to harness users' knowledge requires accounting for their context and how it structures their understanding of the world. In this work, we propose to combine crowdsourcing and crowdsensing in the first of a series of experiments where we involve students to annotate their knowledge on their sensor data collected via a dedicated mobile application. We focus on the task of identifying WiFi networks in the university buildings as an initial step to obtain a better knowledge of students' location context. Results show that students were very accurate in their task and the potential benefits of combining the approaches from crowdsensing and crowdsourcing.