International audienceCrowdsensing has been used quite regularly in recent years to study smartphone usage. However context information associated with smartphone usage is mostly of the type geo-localisation, user mobility, temporal behavior etc. Furthermore most studies are not sufficiently user-centric i.e. don't consider the perception or cognitive aspects of the user. In this paper we collect data about social context and user perception via in-app and on-line questionnaires and show that when these are combined with crowdsensed data can help improve both sensing and survey and can be applied to interesting cases
International audienceThis paper discusses the design and development efforts made to collect data ...
The increasing volume of “Big Data” produced by sensors and smart devices can transform the social a...
A growing proportion of people are choosing to complete online social surveys using smartphones. As ...
International audienceCrowdsensing has been used quite regularly in recent years to study smartphone...
International audienceMobile crowdsensing is a powerful mechanism to aggregate hyper-local knowledge...
peer reviewedMobile crowdsensing (MCS) has gained significant attention in recent years and has beco...
© 2016 Willian Zamora et al. This is an open access article distributed under the Creative Commons A...
The possibility of understanding the dynamics of human mobility and sociality creates the opportunit...
PhDResearchers have examined crowd behaviour in the past by employing a variety of methods including...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
Part 1: Full Research PapersInternational audienceWhile scientific communities extensively exploit s...
In recent years, the widespread availability of sensor-provided smartphones has enabled the possibil...
International audienceMobile phone sensing contributes to changing the way we approach science: mass...
International audienceUnderstanding the sensing context of raw data is crucial for assessing the qua...
This work is funded by the EPSRC/TSB Privacy Value Networks project (EP/G002606/1).Understanding the...
International audienceThis paper discusses the design and development efforts made to collect data ...
The increasing volume of “Big Data” produced by sensors and smart devices can transform the social a...
A growing proportion of people are choosing to complete online social surveys using smartphones. As ...
International audienceCrowdsensing has been used quite regularly in recent years to study smartphone...
International audienceMobile crowdsensing is a powerful mechanism to aggregate hyper-local knowledge...
peer reviewedMobile crowdsensing (MCS) has gained significant attention in recent years and has beco...
© 2016 Willian Zamora et al. This is an open access article distributed under the Creative Commons A...
The possibility of understanding the dynamics of human mobility and sociality creates the opportunit...
PhDResearchers have examined crowd behaviour in the past by employing a variety of methods including...
International audienceRecent generations of mobile phones, embedding a wide variety of sensors, have...
Part 1: Full Research PapersInternational audienceWhile scientific communities extensively exploit s...
In recent years, the widespread availability of sensor-provided smartphones has enabled the possibil...
International audienceMobile phone sensing contributes to changing the way we approach science: mass...
International audienceUnderstanding the sensing context of raw data is crucial for assessing the qua...
This work is funded by the EPSRC/TSB Privacy Value Networks project (EP/G002606/1).Understanding the...
International audienceThis paper discusses the design and development efforts made to collect data ...
The increasing volume of “Big Data” produced by sensors and smart devices can transform the social a...
A growing proportion of people are choosing to complete online social surveys using smartphones. As ...