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Crowd sensing is a new paradigm which leverages the pervasive smartphones to efficiently collect and upload sensing data, enabling numerous novel applications. To achieve good service quality for a crowd sensing application, incentive…

网络与互联网体系结构 · 计算机科学 2014-12-25 Jiajun Sun

In crowdsourcing, a group of common people is asked to execute the tasks and in return will receive some incentives. In this article, one of the crowdsourcing scenarios with multiple heterogeneous tasks and multiple IoT devices (as task…

计算机科学与博弈论 · 计算机科学 2023-04-04 Chattu Bhargavi , Vikash Kumar Singh

Mobile crowdsensing leverages mobile devices (e.g., smart phones) and human mobility for pervasive information exploration and collection; it has been deemed as a promising paradigm that will revolutionize various research and application…

网络与互联网体系结构 · 计算机科学 2013-08-22 Kai Han , Chi Zhang , Jun Luo

The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where voting outcomes may not always be fair or inclusive.…

多智能体系统 · 计算机科学 2023-07-25 Srijoni Majumdar , Evangelos Pournaras

Crowd sensing is a new paradigm which leverages the pervasive smartphones to efficiently collect sensing data, enabling numerous novel applications. To achieve good service quality for a crowd sensing application, incentive mechanisms are…

计算机科学与博弈论 · 计算机科学 2014-03-24 Jiajun Sun

Crowdsourcing has become an efficient paradigm for performing large scale tasks. Truth discovery and incentive mechanism are fundamentally important for the crowdsourcing system. Many truth discovery methods and incentive mechanisms for…

计算机科学与博弈论 · 计算机科学 2019-02-12 Lingyun Jiang , Xiaofu Niu , Jia Xu , Dejun Yang , Lijie Xu

While microtask crowdsourcing provides a new way to solve large volumes of small tasks at a much lower price compared with traditional in-house solutions, it suffers from quality problems due to the lack of incentives. On the other hand,…

计算机科学与博弈论 · 计算机科学 2013-05-30 Yang Gao , Yan Chen , K. J. Ray Liu

Crowd sensing is a new paradigm which leverages the ubiquity of sensor-equipped mobile devices to collect data. To achieve good quality for crowd sensing, incentive mechanisms are indispensable to attract more participants. Most of existing…

计算机科学与博弈论 · 计算机科学 2014-05-01 Jiajun Sun

Crowdsourcing with the intelligent agents carrying smart devices is becoming increasingly popular in recent years. It has opened up meeting an extensive list of real life applications such as measuring air pollution level, road traffic…

计算机科学与博弈论 · 计算机科学 2022-03-18 Vikash Kumar Singh , Anjani Samhitha Jasti , Sunil Kumar Singh , Sanket Mishra

Allowing members of the crowd to propose novel microtasks for one another is an effective way to combine the efficiencies of traditional microtask work with the inventiveness and hypothesis generation potential of human workers. However,…

人机交互 · 计算机科学 2020-12-23 Abigail Hotaling , James P. Bagrow

Mobile Crowd Sensing (MCS) is a new paradigm which takes advantage of pervasive smartphones to efficiently collect data, enabling numerous novel applications. To achieve good service quality for a MCS application, incentive mechanisms are…

计算机科学与博弈论 · 计算机科学 2014-04-10 Dong Zhao , Huadong Ma , Liang Liu

Spatial crowdsourcing (SC) enables the assignment of location-based tasks to mobile users who must travel to specific locations to perform sensing or service activities. However, SC systems often operate in strategic environments where both…

计算机科学与博弈论 · 计算机科学 2026-04-27 Chattu Bhargavi , Vikash Kumar Singh , Alok Kumar Shukla

Participatory budgeting is a democratic approach to deciding the funding of public projects, which has been adopted in many cities across the world. We present a survey of research on participatory budgeting emerging from the computational…

计算机科学与博弈论 · 计算机科学 2020-03-03 Haris Aziz , Nisarg Shah

Crowdsourcing refers to the arrangement in which contributions are solicited from a large group of unrelated people. Due to this nature, crowdsourcers (or task requesters) often face uncertainty about the workers' capabilities which, in…

多智能体系统 · 计算机科学 2016-01-25 Han Yu

Crowdsourcing systems, in which numerous tasks are electronically distributed to numerous "information piece-workers", have emerged as an effective paradigm for human-powered solving of large scale problems in domains such as image…

机器学习 · 计算机科学 2013-03-27 David R. Karger , Sewoong Oh , Devavrat Shah

Mobile crowdsourcing refers to systems where the completion of tasks necessarily requires physical movement of crowdworkers in an on-demand workforce. Evidence suggests that in such systems, tasks often get assigned to crowdworkers who…

人工智能 · 计算机科学 2024-01-24 Ralf Bruns , Jeremias Dötterl , Jürgen Dunkel , Sascha Ossowski

We consider crowdsourcing problems where the users are asked to provide evaluations for items; the user evaluations are then used directly, or aggregated into a consensus value. Lacking an incentive scheme, users have no motive in making…

计算机科学与博弈论 · 计算机科学 2017-05-09 Luca de Alfaro , Marco Faella , Vassilis Polychronopoulos , Michael Shavlovsky

Mobile crowdsensing has emerged as an efficient sensing paradigm which combines the crowd intelligence and the sensing power of mobile devices, e.g.,~mobile phones and Internet of Things (IoT) gadgets. This article addresses the…

网络与互联网体系结构 · 计算机科学 2017-02-16 Mohammad Abu Alsheikh , Yutao Jiao , Dusit Niyato , Ping Wang , Derek Leong , Zhu Han

In participatory budgeting we are given a set of projects---each with a cost, an available budget, and a set of voters who in some form express their preferences over the projects. The goal is to select---based on voter preferences---a…

多智能体系统 · 计算机科学 2020-09-08 Piotr Skowron , Arkadii Slinko , Stanisław Szufa , Nimrod Talmon

This paper investigates the incentive mechanism design from a novel and practically important perspective in which mobile users as contributors do not join simultaneously and a requester desires large efforts from early contributors. A…

计算机科学与博弈论 · 计算机科学 2017-10-06 Yuedong Xu , Yifan Zhou , Yifan Mao , Xu Chen , Xiang Li
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