Searched for: subject%3A%22personalization%22
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Gomez Ortega, A. (author)
Our routine interactions with connected products and services result in the collection and indefinite storage of personal digital-trace data. These data are increasingly entangled with our lives. What we experience is scattered around multiple data points: our browsing history can account for our interests and worries, our messaging logs can...
doctoral thesis 2024
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Khalili, Sodaba (author)
Zaha Hadid’s architectural journey emerges from her early exposure to diverse cultures and her natural curiosity sparked at a young age. Born into a family of influence in Baghdad, Iraq, Hadid’s upbringing, characterized by travels and exposure to significant buildings, laid the foundation for her prestigious career. Despite facing gender biases...
student report 2024
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Koreman, M.C.J. (author)
Young adults are essential in the future of rural municipalities. They can revive places in decline and create new opportunities. But what future dreams, plans and opportunities do they have? Embark on a journey through the Dutch countryside to uncover the future dreams of young adults. Delve into the dreams, plans, and obstacles shaping the...
doctoral thesis 2024
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Kostakonti, Sofia (author)
With the advancement of technology and the integration of Large Language Models, interactive robots are entrusted with more significant tasks that contribute to human well-being. This transition is particularly significant in educational settings, where social robots assume diverse roles such as teacher, tutor, and instructional tool, aiming to...
master thesis 2024
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van der Wel, Iris (author)
Data-driven health research, specifically the development of AI models, is hampered by poor data availability and associated administrative burdens, caused complex and fragmented data protection regulation. To reap the benefits of using high quality health data, while safeguarding data protection of patients, the synthetic data generation is...
master thesis 2024
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van Zuuk, Art (author)
Cycling, a sport with a rich history, is experiencing rapid growth in popularity (Braeckevelt, 2019). It is known for its numerous health benefits, including reducing cardiovascular risks and obesity (Oja et al., 2011).<br/><br/>Despite being perceived as a low-impact activity, research conducted by Delft University of Technology reveals that...
master thesis 2024
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Chen, Yuwei (author)
Our understanding of mental workload (MWL) is still limited compared to well-known physiological data like blood pressure and heart rate. MWL measures the cognitive resources required for tasks against what's available. Innovative technologies offer more comprehensive and objective cognitive data, but their impact on individuals and their...
master thesis 2024
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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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Götz, Paula (author), Auping, Willem L. (author), Hinrichs-Krapels, S. (author)
Background: Health systems worldwide struggled to obtain sufficient personal protective equipment (PPE) and ventilators during the COVID-19 pandemic due to global supply chain disruptions. Our study’s aim was to create a proof-of-concept model that would simulate the effects of supply strategies under various scenarios, to ultimately help...
journal article 2024
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Gomez Ortega, A. (author), Bourgeois, Jacky (author), Kortuem, G.W. (author)
Most people interact with digital technologies that collect personal data about their behavior and experiences, leaving behind a data trail. The data within this trail is abstract and difficult to interpret; still, people often need to decide about its collection and distribution. Hence, it is paramount to support personal data literacy, for...
conference paper 2024
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Gomez Ortega, A. (author), Noortman, Renee (author), Bourgeois, Jacky (author), Kortuem, G.W. (author)
Most people are entangled with an ever-growing trail of data that results from their daily interactions with products and services. Yet, they are hardly aware of the nature and characteristics of the data within this trail. We design dataslip, a provocative artifact that materializes the personal data trail into a receipt and aims to elicit...
conference paper 2024
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Bostan, I. (author), van Egmond, R. (author), Gommers, D.A.M.P.J. (author), Ozcan Vieira, E. (author)
Intensive Care Unit (ICU) nurses are burdened by excessive number of false and irrelevant alarms generated by patient monitoring systems. Nurses rely on these patient monitoring systems for timely and relevant medical information concerning patients. However, the systems currently in place are not sensitive to the perceptual and cognitive...
journal article 2024
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Rizun, Nina (author), Alexopoulos, Charalampos (author), Saxena, Stuti (author), Kleiman, F. (author), Matheus, R. (author)
The academic interest in the Open Government Data (OGD) domain has been burgeoning over the years. Conceding that the prime focus of an OGD initiative is its further re-use for value creation and innovation by stakeholders, the present study seeks to underscore the role of HEXACO personality traits on behavioral intention (BI) to adopt and...
journal article 2024
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Vombatkere, Karan (author), Mousavi, Sepehr (author), Zannettou, S. (author), Roesner, Franziska (author), Gummadi, Krishna P. (author)
Recommendation algorithms for social media feeds often function as black boxes from the perspective of users. We aim to detect whether social media feed recommendations are personalized to users, and to characterize the factors contributing to personalization in these feeds. We introduce a general framework to examine a set of social media feed...
conference paper 2024
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de Winter, J.C.F. (author), Driessen, T. (author), Dodou, D. (author)
Personality research has traditionally relied on questionnaires, which bring with them inherent limitations, such as response style bias. With the emergence of large language models such as ChatGPT, the question arises as to what extent these models can be used in personality research. In this study, ChatGPT (GPT-4) generated 2000 text-based...
journal article 2024
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Millán, Ana P. (author), van Straaten, Elisabeth C.W. (author), Stam, Cornelis J. (author), Nissen, Ida A. (author), Idema, Sander (author), Van Mieghem, P.F.A. (author), Hillebrand, Arjan (author)
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but up to 50% of patients continue to have seizures one year after the resection. In order to aid presurgical planning and predict postsurgical outcome on a patient-by-patient basis, we developed a framework of individualized computational models that combines...
journal article 2024
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Roth, M. (author)
This thesis addresses the sensor-based perception of driver and pedestrian to improve joint path prediction of ego-vehicle and pedestrian based on mutual awareness in the domain of intelligent vehicles.<br/><br/>According to the World Health Organization (WHO), more than half of global traffic deaths are among Vulnerable Road Users (VRUs), such...
doctoral thesis 2023
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Tajdari, F. (author)
Personalized designs bring significant added value to the products and the users. However, they also pose challenges on the product design process. For instance, for products for personalized fit ,each may differ subject to each user’s body shape and preference. Presently, there exist knowledge and methods which suppor designing personalized...
doctoral thesis 2023
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Liu, TIANYI (author)
With the widespread application of artificial intelligence, centralized machine learning approaches, which require access to users' local data, have raised concerns about data privacy. In response, federated learning, an architecture that aggregates models trained locally with local data, has been proposed. This approach addresses the data...
master thesis 2023
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de Blok, Layla (author)
Grief is a complex experience without a specific endpoint. It follows a unique path for each person. Many support sources are available, but finding support that fits is difficult. This inspired Verening Leven met Dood to develop the Rouw Wegwijzer, an online platform that provides personalised grief support. The focus of this thesis is to...
master thesis 2023
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