Background: Crowdfunding has risen rapidly as a way of raising funds to support projects such as art projects, charity projects, and new ventures. It is very important to understand how crowds in the crowdfunding market are organized to carry out various activities. This study documents and compares two crowd designs for crowdfunding, namely pure crowds, where all crowd members participate as e...

Crowds of non-­‐player characters are increasingly common in contemporary video games. It is often the case that individual models are re-­‐used, lowering visual variety in the crowd and potentially affecting realism and believability. This paper explores a number of approaches to increase visual diversity in large game crowds, and discusses a procedural solution for generating diverse non-­‐pl...

Interactive systems must respond to user input within seconds. Therefore, to create realtime crowd-powered interfaces, we need to dramatically lower crowd latency. In this paper, we introduce the use of synchronous crowds for ondemand, realtime crowdsourcing. With synchronous crowds, systems can dynamically adapt tasks by leveraging the fact that workers are present at the same time. We develop...

Openness, accountability, and transparency have attracted researchers’ and practitioners’ interest as open data and citizen engagement initiatives try to capitalize the wisdom of crowds for better governance, policy making, or even service provision. In this context, interoperability between public organizations, citizens, and enterprises seems to remain the center of interest in the public sec...

To manage a big event require tracking in real time the movement of crowds. Solution based on mobile network data analysis are effective, but expensive. Obtaining comparable results by analysing public social stream has a clear commercial potential, especially considering that, being able to access also the content of a micro-post, the analysis can also track the attention of crowds.

Most crowd simulation research either focuses on navigating characters through an environment while avoiding collisions or on simulating very large crowds. Our work focuses on creating populations that inhabit a space as opposed to passing through it. Characters exhibit behaviors that are typical for their setting. We term these populations functional crowds. A key element of this work is ensur...

We present a clustered personal classifier method (CPC method) that jointly estimates a classifier and clusters of workers in order to address the learning from crowds problem. Crowdsourcing allows us to create a large but low-quality data set at very low cost. The learning from crowds problem is to learn a classifier from such a lowquality data set. From some observations, we notice that worke...