EPJ Data Science Highlight—Behavioral studies from mobile crowd-sensing

(Guest post by Sabine Louet) Using mobile phones for research is not new. However, interpreting the data collected from volunteers’ own smart phones—which has the potential to emulate randomized trials—can advance research into human behavior. In a new study published in EPJ Data Science, scientists have just demonstrated the potential of using smart phones for conducting large-scale behavioural studies.The results stem from the work of Fani Tsapeli from the University of Birmingham, UK, and her colleague and Mirco Musolesi from University College London, UK. In their study, titled “Investigating causality in human behavior from smartphone sensor data: a quasi-experimental approach“, they evaluate the cause of increased stress levels of participants using user-generated data, harvested from their phones. Most of the research work relying on smart phones has focused on detecting…

Link to Full Article: EPJ Data Science Highlight—Behavioral studies from mobile crowd-sensing

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