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Mo, Tianyu (author)
ChatGPT, a cutting-edge technology based on LLM, demonstrated great potential in search tasks. While the importance and potential of ChatGPT are growing, the gap in the understanding of how users interact and engage in ChatGPT search remains open. Past research has extensively examined traditional information search, but there is a need for...
master thesis 2023
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Offerman, Celine (author)
Correctly processing accumulated information is beneficial for our survival. Berghman and Hekkert (2017) argue that this is why we humans derive pleasure from having a sense of aesthetics. These aesthetic experiences can be seen as our brain’s reward system for correctly perceiving and interpret- ing the world around us. While our senses have...
master thesis 2023
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Kulane, Suleiman (author)
Search engines are used to gather and collect information. This interaction sometimes influences the user and changes their attitude towards a topic after such interaction. Prior work has shown that it is a complex endeavour to understand attitude change, as there are many things that can influence a user during a search session. One of the...
master thesis 2023
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Chronas, Konstantinos (author)
Matching schemas is a fundamental task in data integration and semantic web applications. However, generating labeled data for schema matching tasks is challenging, requiring an efficient and effective approach. This thesis addresses this challenge by investigating schema matching techniques and crowdsourcing solutions. We developed a prototype...
master thesis 2023
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Li, Bowu (author)
The escalating complexity of software systems in the digital age heavily relies on reusable code collections(packages) for their development and operation. Despite the numerous advantages of pre-existing libraries, managing dependencies can be intricate and time-consuming. This thesis focuses on enhancing package management tools through a...
master thesis 2023
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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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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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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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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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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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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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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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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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Oudshoorn, Max (author)
Various visual 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....
master thesis 2020
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Nahimana, Aliane (author)
In this thesis, the quality and usefulness of crowdsourced precipitation measurements from 01/01/2019 to 31/01/2020 of 63 stations held by farmers in Burundi are investigated. Common sources of errors in the measurements are identified following field visits and discussions with farmers. Two filters for identifying and removing faulty zeros and...
master thesis 2020
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Oltmans, Rembrandt (author)
Data collection by means of crowdsourcing can be costly or produce inaccurate results. Methods have been proposed for solving these problems. However, it remains unclear what methods work best in scenarios with multiple similar objects of interest present in the same image, which is important for training computer vision with applications such...
bachelor thesis 2020
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Strafforello, Ombretta (author)
With the huge amount of data that is collected every day and shared on the internet, many recent studies have focused on methods to make multimedia browsing simple and efficient, investigating techniques for automatic multimedia analysis. This work specifically delves into the case of information extraction from videos, which is still an open...
master thesis 2019
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Shriram, Sharad (author)
Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain...
master thesis 2019
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