This whitepaper provides an overview perspective on the foundation of crowdsourcing and crowdsensing, detailing related notions such as collective intelligence and citizen science. As all crowd-based initiatives are usually built upon a core of volunteers participating to an “open call” to perform tasks, crowdsensing in particular relies on the willingness of participants to invest time and interest in a cause, sacrifice limited resources of their mobile devices, and provide implicit or explicit efforts, including ignoring risks that impact the privacy of their data. This document describes how incentives and rewarding schemes are adopted in this context to attract a community of users and to keep it engaged. Two incentive schemes in partic...
In a mobile crowdsourcing system, the platform utilizes ubiquitous smartphones to perform sensing ta...
Most of the research on the incentive mechanism design in crowdsourcing has focused on how to alloca...
Mobile crowdsensing has shown great potential in addressing large-scale data sensing problems by all...
This chapter provides reflections on extrinsic and intrinsic incentive mechanisms, in order to explo...
This chapter provides reflections on extrinsic and intrinsic incentive mechanisms, in order to explo...
We are becoming increasingly aware that the effectiveness of mobile crowdsourcing systems critically...
The aim of this paper is to explore factors driving and affecting motivation of workers for particip...
Over the course of the last years, a growing number of Mobile Crowd-Sensing (MCS) applications have ...
Mobile crowdsensing is a burgeoning concept that allows smart cities to leverage the sensing power a...
With the ever-increasing trend in the number of social interactions getting intermediated by technol...
Proper incentive mechanisms are critical for mobile crowdsensing systems to motivate people to activ...
Due to the randomness of participants’ movement and the selfishness and dishonesty of individuals in...
The growing utilization of smartphones equipped with various sensors to collect and analyze informat...
Traditional mobile crowdsensing has shown a great potential to address large-scale data sensing prob...
Traditional crowdsensing platforms rely on sensory information collected from a group of independent...
In a mobile crowdsourcing system, the platform utilizes ubiquitous smartphones to perform sensing ta...
Most of the research on the incentive mechanism design in crowdsourcing has focused on how to alloca...
Mobile crowdsensing has shown great potential in addressing large-scale data sensing problems by all...
This chapter provides reflections on extrinsic and intrinsic incentive mechanisms, in order to explo...
This chapter provides reflections on extrinsic and intrinsic incentive mechanisms, in order to explo...
We are becoming increasingly aware that the effectiveness of mobile crowdsourcing systems critically...
The aim of this paper is to explore factors driving and affecting motivation of workers for particip...
Over the course of the last years, a growing number of Mobile Crowd-Sensing (MCS) applications have ...
Mobile crowdsensing is a burgeoning concept that allows smart cities to leverage the sensing power a...
With the ever-increasing trend in the number of social interactions getting intermediated by technol...
Proper incentive mechanisms are critical for mobile crowdsensing systems to motivate people to activ...
Due to the randomness of participants’ movement and the selfishness and dishonesty of individuals in...
The growing utilization of smartphones equipped with various sensors to collect and analyze informat...
Traditional mobile crowdsensing has shown a great potential to address large-scale data sensing prob...
Traditional crowdsensing platforms rely on sensory information collected from a group of independent...
In a mobile crowdsourcing system, the platform utilizes ubiquitous smartphones to perform sensing ta...
Most of the research on the incentive mechanism design in crowdsourcing has focused on how to alloca...
Mobile crowdsensing has shown great potential in addressing large-scale data sensing problems by all...