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Showing 1 to 20 of 228 for “"Crowdsourcing"”.
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Crowdsourcing moral psychology
Ethical trade-off surveys have played a key role in building a data-driven understanding of human moral psychology. They have been conducted all over the world for decades, eliciting assessment of ethical dilemma outcomes from populations as diverse as those of rural, tribal settlements, and …
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Occasional Groups in Crowdsourcing Platforms
<p>Contributors to online crowdsourcing systems generally work independently on pieces of the product but in some cases, task interdependencies may require collaboration to develop a final product. These collaborations though take a distinctive form because of the nature of crowdsourced work. …
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How companies can leverage crowdsourcing
Crowdsourcing is an increasingly popular phenomenon where companies solicit the help of the public in helping accomplish some of the activities commonly performed by employees or contractors. These activities can range from solving scientific problems that baffle the in-house experts to repetitive …
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Quality Assurance Strategies in Microtask Crowdsourcing
Crowdsourcing is the outsourcing of a unit of work to a crowd of people via an open call for contributions. While there are various forms of crowdsourcing, such as open innovation, civic engagement and crowdfunding in this work we specifically focus on microtasking. Microtasking is a branch of …
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Crowdsourcing Mobile Data for Indoor Positioning
… in terms of human effort. This thesis is about crowdsourcing fingerprints so that traditional surveying tasks can be distributed to individual users, especially in a passive way so that the users do not have to take extra actions in order to contribute. Much existing research is based on the …
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Query K-means clustering for crowdsourcing
… approximately with side information provided by crowdsourcing. Both binary same-cluster oracle and general crowdsourcing framework are considered. It can be shown that, under some mild assumptions on the smallest cluster size, one can obtain a $(1+\epsilon)$-approximation for the optimal …
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Crowdsourcing traffic data for travel time estimation
… VISSIM traffic simulator. The results show that crowdsourcing is only more accurate than traditional statistical methods if the input values for input data are very close to the actual values. In particular, when speed of vehicles on a link are concerned, we need to provide the machine learning …
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Security, privacy, and trust in crowdsourcing systems
Crowdsourcing has emerged as an efficient way to solve problems that require the wisdom of human beings. With their fast, low-cost, and flexible nature, crowdsourcing systems have been widely used by researchers in a variety of disciplines for data collection. However, due to the vulnerabilities of …
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Probabilistic Graphical Models for Crowdsourcing and Turbulence
… graphical models on two problems, one involving crowdsourcing and one involving turbulence. In crowdsourcing, we consider the problem of inferring true labels from a set of crowdsourced annotations. We design generative models for the crowdsourced annotations involving as latent variables the …
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Estimation of intrinsic parameters in crowdsourcing problems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01
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AnnoTool : crowdsourcing for natural language corpus creation
… This thesis presents an approach combining crowdsourcing with Luis von Ahn's "games with a purpose " paradigm. Crowdsourcing combines contributions from many participants in an online community. Games with a purpose incentivize voluntary contributions by providing an avenue for a task people …
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Crowdsourcing affective responses for predicting media effectiveness
Emotion is key to the effectiveness of media, whether it be in influencing memory, likability or persuasion. Stories and narratives, even if fictional, have the ability to induce a genuine emotional response. However, the understanding of the role of emotions in media and advertising effectiveness …
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Crowdsourcing mental health and emotional well-being
… needed. Panoply incorporates recent advances in crowdsourcing and human computation to ensure that feedback is timely and vetted for quality. The therapeutic approach behind this system is inspired by research from the fields of emotion regulation, cognitive neuroscience, and clinical psychology, …
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Crowdsourcing and Risk-Management: a survey based approach
… new technologies to apply in company operations. Crowdsourcing Innovation encourages companies in their effort to re-evaluate as well as re-design business processes and diversify a greater task to a heterogeneous group of people for a common goal. The principal objective of this thesis is to …
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Crowdsourcing construction activity analysis from jobsite video streams
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2014-07-18T16:10:17Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Liu_Kaijian.pdf: 15198108 bytes, checksum: 7187095111d51e5b2a0a4cb8d1d66523 (MD5)
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Extracting the Wisdom of Crowds From Crowdsourcing Platforms
Enabled by the wave of online crowdsourcing activities, extracting the Wisdom of Crowds (WoC) has become an emerging research area, one that is used to aggregate judgments, opinions, or predictions from a large group of individuals for improved decision making. However, existing literature mostly …
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Revealing challenges and opportunities in cycling safety through crowdsourcing
… to solve these problems. First, we show SimRa, a crowdsourcing-based citizen science project to record cycling trips and near miss incidents. As part of this contribution, we also present CycleSense, an approach based on Deep Learning to automatically detect near miss incidents from recorded …
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Study on incentive mechanisms of smes crowdsourcing contest innovation.
… working within SMEs. With the rise of Web 2.0, crowdsourcing contest innovation (CCI) it is now possible for project managers to use online platforms as a way to collaborate with external agents to fill this resource gap and thus improve innovation. This research uses agent-based modelling to …
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