Searched for: subject%3A%22Crowdsourcing%22
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Lammerts, Philippe (author)
Hate speech detection on social media platforms remains a challenging task. Manual moderation by humans is the most reliable but infeasible, and machine learning models for detecting hate speech are scalable but unreliable as they often perform poorly on unseen data. Therefore, human-AI collaborative systems, in which we combine the strengths of...
master thesis 2022
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Chen, Xinyue (author)
While the performance of traditional confidence-based rejectors is heavily dependent on the calibration of the pretrained model, this study proposes the concept of feature-based rejectors and the whole pipeline where such rejector can be used in. Multiple design and development decisions along the implementation are discussed in the paper -...
master thesis 2022
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Singh, Aayush (author)
Several input types have been developed in different technological landscapes like crowdsourcing and conversational agents. However, sign language remains one of the input types that has not been looked upon. Although numerous amount of people around the world use sign language as their primary language, there have not been many efforts to...
master thesis 2022
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Ajanidisz, Andris (author)
Microtask crowdsourcing has grown in popularity in recent years. Microtasking is a form of crowdsourcing in which typically small, simple tasks are distributed over the Internet to a large number of people, also known as workers. Workers are highly susceptible to developing musculoskeletal disorders due to prolonged computer use and the...
bachelor thesis 2022
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Veringa, Sanne (author)
Microtask crowdsource workers are negatively influenced, mentally as well as physically, by the repetitive nature of the tasks they perform. Research is ongoing on whether using a gesture-based input technique could mitigate these negative effects. This paper identifies possible ways that using gestures as an alternative input modality could...
bachelor thesis 2022
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Renţea, Ilinca (author)
Commonsense knowledge is information that all humans own and use to interpret common situations and react to them accordingly. This kind of information is necessary for the training of artificial intelligence models to reach a performance as close as possible to human performance. Researchers have developed methods that use crowdsourcing to...
bachelor thesis 2022
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Çelebi, Betul Irmak (author)
Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by mimicking structures in the training data. With the list of application of GANs growing drastically, it has lately become an exciting technology to explore for designers to communicate their ideas and arts through technology and create engaging...
bachelor thesis 2022
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Struijk, Dave (author)
People who perform work on micro-task crowdsourcing platforms, often do so using a mouse and/or keyboard for many hours at a time, while alternative modes of input could potentially provide a better experience. This research investigates the feasibility of using webcam-based eye-tracking in a micro-task work environment. We accomplish this by...
bachelor thesis 2022
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El Hilali, Safouane (author)
The health of micro-task crowdsourcing workers, also called crowdworkers, is something that is overlooked in the micro-task crowdsourcing literature. Due to repetitive tasks, they can develop Repetitive Strain Injuries. To look into other ways of navigating Crowdsourcing Work Environments (CSWEs) outside the mouse and keyboard paradigm, we...
bachelor thesis 2022
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Huang, Tsin Yu (author)
Microtask crowdsourcing workers, also known as crowd workers, perform small tasks known as microtasks.<br/>These people use crowdsourcing platforms to complete these microtasks.<br/>Crowd workers have to work in front of a screen to complete these microtasks, risking musculoskeletal problems and other mental problems.<br/>Their working...
bachelor thesis 2022
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Kleinhans, R.J. (author), Falco, Enzo (author)
Over time, urban planning scholars have studied ways to improve communication and collaboration between ‘experts’ and the ‘public’ in planning processes. Social media and the web 2.0 have strongly affected governments’ communication with citizens. The growth of public participation, Geographic Information Systems and geo-visualisation interfaces...
book chapter 2022
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Onkhar, V. (author), Bazilinskyy, P. (author), Dodou, D. (author), de Winter, J.C.F. (author)
Many fatal accidents that involve pedestrians occur at road crossings, and are attributed to a breakdown of communication between pedestrians and drivers. Thus, it is important to investigate how forms of communication in traffic, such as eye contact, influence crossing decisions. Thus far, there is little information about the effect of...
journal article 2022
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Samiotis, I.P. (author), Qiu, S. (author), Lofi, C. (author), Yang, J. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Music content annotation campaigns are common on paid crowdsourcing platforms. Crowd workers are expected to annotate complex music artifacts, a task often demanding specialized skills and expertise, thus selecting the right participants is crucial for campaign success. However, there is a general lack of deeper understanding of the distribution...
journal article 2022
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Draws, T.A. (author), Inel, O. (author), Tintarev, N. (author), Baden, Christian (author), Timmermans, Benjamin (author)
Research in the area of human information interaction (HII) typically represents viewpoints on debated topics in a binary fashion, as either against or in favor of a given topic (e.g., the feminist movement). This simple taxonomy, however, greatly reduces the latent richness of viewpoints and thereby limits the potential of research and...
conference paper 2022
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Jung, J.Y. (author), Qiu, S. (author), Bozzon, A. (author), Gadiraju, Ujwal (author)
Conversational agents are being widely adopted across several domains to serve a variety of purposes ranging from providing intelligent assistance to companionship. Recent literature has shown that users develop intuitive folk theories and a metaphorical understanding of conversational agents (CAs) due to the lack of a mental model of the...
conference paper 2022
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Samiotis, I.P. (author), Lofi, C. (author), Alaka, Shaad (author), Liem, C.C.S. (author), Bozzon, A. (author)
In this demo we present Scriptoria, an online crowdsourcing system to tackle the complex transcription process of classical orchestral scores. The system’s requirements are based on experts’ feedback from classical orchestra members. The architecture enables an end- to-end transcription process (from PDF to MEI) using a scalable microtask design...
conference paper 2022
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Salimzadeh, S. (author), Gadiraju, Ujwal (author), Hauff, C. (author), van Deursen, A. (author)
Natural Language Interfaces to Databases (NLIDB), also known as Text-to-SQL models, enable users with different levels of knowledge in Structured Query Language (SQL) to access relational databases without any programming effort. By translating natural languages into SQL query, not only do NLIDBs minimize the burden of memorizing the schema...
conference paper 2022
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Draws, T.A. (author), La Barbera, David (author), Soprano, Michael (author), Roitero, Kevin (author), Ceolin, Davide (author), Checco, Alessandro (author), Mizzaro, Stefano (author)
Due to the increasing amount of information shared online every day, the need for sound and reliable ways of distinguishing between trustworthy and non-trustworthy information is as present as ever. One technique for performing fact-checking at scale is to employ human intelligence in the form of crowd workers. Although earlier work has...
conference paper 2022
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Mauri, A. (author), Tocchetti, A. (author), Corti, L. (author), Hsu, Y. (author), Verma, H. (author), Brambilla, Marco (author)
Traditional approaches to data-informed policymaking are often tailored to specific contexts and lack strong citizen involvement and collaboration, which are required to design sustainable policies. We argue the importance of empathy-based methods in the policymaking domain given the successes in diverse settings, such as healthcare and...
conference paper 2022
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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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