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Boonstra, Marchien (author)Personal weather station (PWS) networks have the potential to supply precipitation data at high spatial and temporal resolution for urban hydrological modeling. Past research has shown promising results on the quality of PWS data, for example from Netatmo gauges, but studies on other PWS brands are limited. This thesis assesses the quality of...master thesis 2024
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Teeuwen, R.F.L. (author), Milias, V. (author), Bozzon, A. (author), Psyllidis, A. (author)The study of urban greenspaces typically relies on three types of data: people’s subjective perceptions collected via questionnaires, vegetation indices derived from satellite imagery, such as the Normalized Difference Vegetation Index (NDVI), and Land Use or Land Cover maps, such as OpenStreetMap (OSM). Data on people’s perceptions are...journal article 2024
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Demartini, Gianluca (author), Sadiq, Shazia (author), Yang, J. (author)This Special Issue of the Journal of Data and Information Quality (JDIQ) contains novel theoretical and methodological contributions on data curation involving humans in the loop. In this editorial, we summarize the scope of the issue and briefly describe its content.contribution to periodical 2024
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- Draws, T.A. (author) doctoral thesis 2023
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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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Gadiraju, Ujwal (author), Abbas, T. (author), Allen, G.M. (author)Conversational User Interfaces (CUIs) have been argued to have advantages over traditional GUIs due to having a more human-like interaction. The growing popularity of conversational agents has enabled humans to interact with machines more naturally. There is an increasing familiarity among people with conversational interactions mediated by...conference paper 2023
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Allen, G.M. (author), Hu, Andrea (author), Gadiraju, Ujwal (author)Crowdsourcing is a valuable tool to gather human input which enables the development of reliable artificial intelligence systems. Microtask platforms like Prolific and Amazon's Mechanical Turk have flourished by creating environments where crowd workers can provide such human input in a diverse and representative manner. Such marketplaces...conference paper 2023
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- Yang, J. (author), Bozzon, A. (author), Gadiraju, Ujwal (author), Lease, Matthew (author) contribution to periodical 2023
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Lammerts, Philippe (author), Lippmann, P. (author), Hsu, Yen Chia (author), Casati, Fabio (author), Yang, J. (author)Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and the scalability of machine learning to tackle this issue effectively. While methods for task handover in human-AI collaboration exist that consider the costs of...conference paper 2023
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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...conference paper 2023
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Milias, V. (author), Sharifi Noorian, S. (author), Bozzon, A. (author), Psyllidis, A. (author)City streets that feel safe and attractive motivate active travel behaviour and promote people’s well-being. However, determining what makes a street safe and attractive is a challenging task because subjective qualities of the streetscape are difficult to quantify. Existing evidence typically focuses on how different street features influence...conference paper 2023
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Roy, N. (author), Balayn, A.M.A. (author), Maxwell, D.M. (author), Hauff, C. (author)The creation of relevance assessments by human assessors (often nowadays crowdworkers) is a vital step when building IR test collections. Prior works have investigated assessor quality & behaviour, and tooling to support assessors in their task. We have few insights though into the impact of a document's presentation modality on assessor...conference paper 2023
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Ma, Yao (author), Abbas, T. (author), Gadiraju, Ujwal (author)Crowd-powered conversational systems (CPCS) solicit the wisdom of crowds to quickly respond to on-demand users' needs. The very factors that make this a viable solution - -such as the availability of diverse crowd workers on-demand - - also lead to great challenges. The ever-changing pool of online workers powering conversations with...conference paper 2023
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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