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相关论文: What do crowd workers think about creative work?

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Crowdsourcing allows to instantly recruit workers on the web to annotate image, web page, or document databases. However, worker unreliability prevents taking a workers responses at face value. Thus, responses from multiple workers are…

信息检索 · 计算机科学 2013-07-31 Aditya Kurve , David J Miller , George Kesidis

Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses using crowd-sourcing systems. However, crowd-sourcing systems can also pose a real challenge to existing…

社会与信息网络 · 计算机科学 2012-05-22 Gang Wang , Christo Wilson , Xiaohan Zhao , Yibo Zhu , Manish Mohanlal , Haitao Zheng , Ben Y. Zhao

Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality…

We conduct an experimental analysis of a dataset comprising over 27 million microtasks performed by over 70,000 workers issued to a large crowdsourcing marketplace between 2012-2016. Using this data---never before analyzed in an academic…

人机交互 · 计算机科学 2017-01-24 Ayush Jain , Akash Das Sarma , Aditya Parameswaran , Jennifer Widom

Crowdsourcing offers unprecedented potential for solving tasks efficiently by tapping into the skills of large groups of people. A salient feature of crowdsourcing---its openness of entry---makes it vulnerable to malicious behavior. Such…

社会与信息网络 · 计算机科学 2014-02-25 Victor Naroditskiy , Nicholas R. Jennings , Pascal Van Hentenryck , Manuel Cebrian

Crowd algorithms often assume workers are inexperienced and thus fail to adapt as workers in the crowd learn a task. These assumptions fundamentally limit the types of tasks that systems based on such algorithms can handle. This paper…

社会与信息网络 · 计算机科学 2012-04-20 Walter S. Lasecki , Samuel C. White , Kyle I. Murray , Jeffrey P. Bigham

Collectiveness is an important property of many systems--both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals, or…

人工智能 · 计算机科学 2023-10-26 Roberto Casadei

One of the hallmarks of emotional intelligence is the ability to regulate emotions. Research suggests that cognitive reappraisal - a technique that involves reinterpreting the meaning of a thought or situation - can down-regulate negative…

社会与信息网络 · 计算机科学 2012-04-17 Robert R. Morris , Rosalind Picard

While usability evaluation is critical to designing usable websites, traditional usability testing can be both expensive and time consuming. The advent of crowdsourcing platforms such as Amazon Mechanical Turk and CrowdFlower offer an…

人机交互 · 计算机科学 2012-03-09 Di Liu , Matthew Lease , Rebecca Kuipers , Randolph Bias

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

Conducting user studies is a crucial component in many scientific fields. While some studies require participants to be physically present, other studies can be conducted both physically (e.g. in-lab) and online (e.g. via crowdsourcing).…

人机交互 · 计算机科学 2020-10-26 Patrik Jonell , Taras Kucherenko , Ilaria Torre , Jonas Beskow

Creativity is individual, and it is social. The social aspects of creativity have become of increasing interest as systems have emerged that mobilize large numbers of people to engage in creative tasks. We examine research related to…

社会与信息网络 · 计算机科学 2012-04-19 Lixiu Yu , Jeffrey V. Nickerson , Yasuaki Sakamoto

Crowdsourcing models applied to work on mobile devices continuously reach new ways of solving sophisticated problems, now with a use of portable advanced devices, where users are not limited to a stationary use. There exists an open problem…

社会与信息网络 · 计算机科学 2015-05-29 Oskar Jarczyk

Crowdsourcing information constitutes an important aspect of human-in-the-loop learning for researchers across multiple disciplines such as AI, HCI, and social science. While using crowdsourced data for subjective tasks is not new,…

人机交互 · 计算机科学 2019-06-19 Ramya Srinivasan , Ajay Chander

Crowdsourcing provides a popular paradigm for data collection at scale. We study the problem of selecting subsets of workers from a given worker pool to maximize the accuracy under a budget constraint. One natural question is whether we…

机器学习 · 统计学 2015-02-04 Hongwei Li , Qiang Liu

Crowdsourcing provides a flexible approach for leveraging human intelligence to solve large-scale problems, gaining widespread acceptance in domains like intelligent information processing, social decision-making, and crowd ideation.…

人机交互 · 计算机科学 2024-12-06 Lei Chai , Hailong Sun , Jing Zhang

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

With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and noisy nature of online/offline crowdsourced data, however, makes…

人机交互 · 计算机科学 2019-08-08 Bin Guo , Huihui Chen , Yan Liu , Chao Chen , Qi Han , Zhiwen Yu

As the use of crowdsourcing increases, it is important to think about performance optimization. For this purpose, it is possible to think about each worker as a HPU(Human Processing Unit), and to draw inspiration from performance…

人机交互 · 计算机科学 2016-10-17 Chen Cao , Zheng Liu , Lei Chen , H. V. Jagadish

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