Abstract (EN):
SenseMyCity is an opportunistic mobile crowd-sensing tool available for researchers to design and implement data collection campaigns for studying large-scale processes. We discuss how our tool addresses two critical aspects of large scale data gathering campaigns: compliance with data protection guidelines and low intrusiveness. The latter is achieved by low battery consumption and low interaction with the participants, which lead us to implement an algorithm to automatically start gathering data when participants move (and stopping when they stop). Then, we report on three interdisciplinary data collection case studies on the wild in the city of Porto involving overall 641 participants, reflecting on the participant engagement mechanisms and the results of the data collection campaign. Finally, we report on the most common timestamping and position mismatches observed in the data collected in such uncontrolled scenarios from a wide variety of hardware and software versions, and that can impact data analysis.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
7