Searched for: subject%3A%22Crowdsourcing%22
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Somai, Ashay (author)
This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...
master thesis 2021
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Kooijman, Bram (author)
Previous research showed that perceived risk is an important psychological determinant of road user behaviour and accident prevalence. However, little knowledge exists about how objective in-scene features affect a driver’s perceived risk in interactions with pedestrians. This crowdsourcing study tries to fill this research gap. A total of 1082...
master thesis 2021
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Gkeli, Maria (author), Potsiou, Chryssy (author)
The ongoing urbanization has led to the emergence of several complex constructions and multi-dimensional property rights. Traditional cadastral procedures cannot meet the demands of this new reality, leading to increased costs and long delays. Exploiting the capabilities of the latest technologies, mobile services (m-services), Building...
conference paper 2021
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Qiu, S. (author)
Crowdsourcing has become a standard approach for the collection of the human input required by scientists and practitioners alike to execute their experiments, or to train, control, and verify the behavior of their intelligent systems. Despite years of successful research and industrial application, how to improve the engagement and satisfaction...
doctoral thesis 2021
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van Zuijlen, M.J.P. (author)
The world around us is filled with materials. Our ability of visual material perception informs us how to navigate and interact with our environment. It tells us, for example, whether food is fresh, if a chair is strong enough to sit on, how much force to use to pick up a glass, etc. Painters have studied how to depict the world and the...
doctoral thesis 2021
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Hu, Andrea (author)
Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use...
bachelor thesis 2021
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van der Veeken, Just (author)
With the growing popularity of conversational interfaces, new use-cases in which conversation may be an effective medium for human-computer interaction are explored. Recent works have shown how conversational interfaces can improve worker engagement in micro-task crowdsourcing and that task performance is comparable to web-based interfaces. This...
bachelor thesis 2021
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Kalia, Neha (author)
The manual process of collecting and labelling data required for machine learning tasks is labour-intensive, expensive, and time consuming. In the past, efforts have been made to crowdsource this data by either offering people monetary incentives, or by using a gamified approach where users contribute to databases as a side-effect of playing an...
bachelor thesis 2021
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Chu, Yuxin (author)
Visually impaired people should enjoy the same rights to acquire information as people with normal sight. Since visual contents become more and more pervasive in our daily life, image description becomes increasingly important to help visually impaired people to get equal access to the information contained in visual contents. However, how to...
master thesis 2021
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van den Haak, Daniel (author)
Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...
master thesis 2021
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Arous, Ines (author), Yang, J. (author), Khayati, Mourad (author), Cudre-Mauroux, Philippe (author)
Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The...
conference paper 2021
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Sripada, Anirudh (author), Bazilinskyy, P. (author), de Winter, J.C.F. (author)
It may be necessary to introduce new modes of communication between automated vehicles (AVs) and pedestrians. This research proposes using the AV’s lateral deviation within the lane to communicate if the AV will yield to the pedestrian. In an online experiment, animated video clips depicting an approaching AV were shown to participants. Each...
journal article 2021
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Nouri, Zahra (author), Gadiraju, Ujwal (author), Engels, Gregor (author), Wachsmuth, Henning (author)
Designing tasks clearly to facilitate accurate task completion is a challenging endeavor for requesters on crowdsourcing platforms. Prior research shows that inexperienced requesters fail to write clear and complete task descriptions which directly leads to low quality submissions from workers. By complementing existing works that have aimed...
conference paper 2021
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Chen, Jieyu (author), Saunders, K.R. (author), Whan, Kirien (author)
Wind observations collected at citizen weather stations (CWSs) could be an invaluable resource in climate and meteorology studies, yet these observations are underutilised because scientists do not have confidence in their quality. These wind speed observations have systematic biases, likely caused by improper instrumentation and station...
journal article 2021
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Qiu, S. (author), Gadiraju, Ujwal (author), Birk, Max V. (author), Bozzon, A. (author)
The future of crowd work has been identified to depend on worker satisfaction, but we lack a thorough understanding of how worker satisfaction can be increased in microtask crowdsourcing. Prior work has shown that one solution is to build tasks that are engaging. To facilitate engagement, two methods that have received attention in recent HCI...
journal article 2021
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Edixhoven, Tom (author), Qiu, S. (author), Kuiper, Lucie (author), Dikken, Olivier (author), Smitskamp, Gwennan (author), Gadiraju, Ujwal (author)
In popular crowdsourcing marketplaces like Amazon Mechanical Turk, crowd workers complete tasks posted by requesters in return for monetary rewards. Task requesters are solely responsible for deciding whether to accept or reject submitted work. Rejecting work can directly affect the monetary reward of corresponding workers, and indirectly...
conference paper 2021
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Mauri, A. (author), Bozzon, A. (author)
Current artificial intelligence and information retrieval systems need to be trained with a large amount of data to achieve satisfying performance. A popular solution to create such datasets is to employ crowdsourcing; however, the content to be annotated may contain private or sensitive information that can be extracted by workers, limiting...
journal article 2021
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Draws, T.A. (author), Rieger, A. (author), Inel, O. (author), Gadiraju, Ujwal (author), Tintarev, N. (author)
Recent research has demonstrated that cognitive biases such as the confirmation bias or the anchoring effect can negatively affect the quality of crowdsourced data. In practice, however, such biases go unnoticed unless specifically assessed or controlled for. Task requesters need to ensure that task workflow and design choices do not trigger...
conference paper 2021
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Gong, Y. (author), van Engelenburg, S.H. (author), Janssen, M.F.W.H.A. (author)
Companies increasingly tender knowledge-intensive tasks using crowdsourcing platforms to gain access to scarce knowledge and skills otherwise out of reach, and in this way, gaining competitive advantage. Despite its potential, existing crowdsourcing platforms encounter several challenges, including (1) fragmentation of expertise, as there are...
journal article 2021
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Oudshoorn, Max (author), de Winter, J.C.F. (author), Bazilinskyy, P. (author), Dodou, D. (author)
Various external human-machine interfaces (eHMIs) have been proposed that communicate the intent of automated vehicles (AVs) to vulnerable road users. However, there is no consensus on which eHMI concept is most suitable for intent communication. In nature, animals have evolved the ability to communicate intent via visual signals. Inspired by...
journal article 2021
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