Incentive mechanisms for participatory sensing: Survey and research challenges
Participatory sensing is a powerful paradigm that takes advantage of smartphones to collect
and analyze data beyond the scale of what was previously possible. Given that participatory …
and analyze data beyond the scale of what was previously possible. Given that participatory …
A survey of incentive mechanisms for participatory sensing
Participatory sensing is now becoming more popular and has shown its great potential in
various applications. It was originally proposed to recruit ordinary citizens to collect and …
various applications. It was originally proposed to recruit ordinary citizens to collect and …
Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones
Smartphones are programmable and equipped with a set of cheap but powerful embedded
sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and …
sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and …
Stochastic last-mile delivery with crowdshipping
For the predicted growth of e-commerce, supply chains need to adapt to new conditions, so
that delivery can be fast, cheap and reliable. The key to success is the last-mile product …
that delivery can be fast, cheap and reliable. The key to success is the last-mile product …
Task assignment optimization in knowledge-intensive crowdsourcing
We present SmartCrowd, a framework for optimizing task assignment in knowledge-
intensive crowdsourcing (KI-C). SmartCrowd distinguishes itself by formulating, for the first …
intensive crowdsourcing (KI-C). SmartCrowd distinguishes itself by formulating, for the first …
Personality matters: Balancing for personality types leads to better outcomes for crowd teams
When personalities clash, teams operate less effectively. Personality differences affect face-
to-face collaboration and may lower trust in virtual teams. For relatively short-lived …
to-face collaboration and may lower trust in virtual teams. For relatively short-lived …
Docs: a domain-aware crowdsourcing system using knowledge bases
Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …
Task recommendation in crowdsourcing systems: A bibliometric analysis
Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …
insights into the field from their perspectives, methodologies, frameworks, and disciplines …
Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain
The popularity and applicability of mobile crowdsensing applications are continuously
increasing due to the widespread of mobile devices and their sensing and processing …
increasing due to the widespread of mobile devices and their sensing and processing …
Assigning tasks to workers based on historical data: Online task assignment with two-sided arrivals
JP Dickerson, KA Sankararaman… - … on Autonomous Agents …, 2018 - par.nsf.gov
Efficient allocation of tasks to workers is a central problem in crowdsourcing. In this paper,
we consider a special setting inspired by spatial crowdsourcing platforms where both …
we consider a special setting inspired by spatial crowdsourcing platforms where both …