Searched for: subject%3A%22Human%255C+Computation%22
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van Rijn, David (author)
Venously printed contributes to the field of HCI and digital manufacturing by exploring the scope and possibilities for programmable and responsive fluidic interfaces, using multi-material 3D printing as a manufacturing technique. Novel meta-materials and computational composites have proven to open up new design paradigms and continue to expand...
master thesis 2022
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Kuiper, Lucie (author)
Artificial Intelligence (AI) is increasingly helping people with all kinds of tasks, due to its promising capabilities. In some tasks, an AI system by itself will take over tasks, but in other tasks, an AI system making decisions on its own would be undesired due to ethical and legal reasons. In those cases, AI can still be of help by forming...
master thesis 2022
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Langendam, Thijmen (author)
Wave Function Collapse (WFC) is a powerful generative algorithm, able to create locally-similar output based on a single example input. One of the inherent limitations of the original WFC is that it often requires users to understand its inner workings, and possibly make their own ad-hoc mods to achieve satisfactory results. Besides distracting...
master thesis 2022
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Biswas, Shreyan (author)
Explaining the behaviour of Artificial Intelligence models has become a necessity. Their opaqueness and fragility are not tolerable in high-stakes domains especially. <br/>Although considerable progress is being made in the field of Explainable Artificial Intelligence, scholars have demonstrated limits and flaws of existing approaches:...
master thesis 2022
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Bodelier, Mathijs (author)
In a matter of decades, information technologies have become omni-present in the lives of more than a billion people. Whilst holding many promises for more efficient and therefore seemingly more sustainable practices, this fast-growing industry is expanding its footprint rapidly. Exponential advancements in hardware and software are kept in...
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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Delia, Alto (author)
Collaborative AI (CAI) is a fast growing field of study. Cooperation between teams composed of humans and artificial intelligence needs to be principled and founded on reciprocal trust. Modelling the trustworthiness of humans is a difficult task because of the ambiguous nature of its definition as well as the effect of team work dynamic. This...
bachelor thesis 2022
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Obame Obiang, Christopher (author)
AI systems have the ability to complete tasks with greater precision and speed than humans, which has led to an increase in their usage. These systems are often grouped with humans in order to take advantage of the unique abilities of both the AI and the human. However, to make this cooperation as efficient as possible, there needs to be a...
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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Marin, L. (author)
This paper proposes three principles for the ethical design of online social environments aiming to minimise the unintended harms caused by users while interacting online, specifically by enhancing the users’ awareness of the moral load of their interactions. Such principles would need to account for the strong mediation of the digital...
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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Feng, Y. (author), Duives, D.C. (author), Hoogendoorn, S.P. (author)
Virtual Reality (VR) provides the possibility to study pedestrian wayfinding behaviour in multi-level buildings. Although VR has been applied increasingly to study pedestrian behaviour, it has remained unclear how different VR technology would affect behavioural outcomes in a multi-level building. The study compares the adoption of different VR...
journal article 2022
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Roy, N. (author), Maxwell, D.M. (author), Hauff, C. (author)
The Search Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presentations that contain results from multiple verticals and granularities of textual information. Prior works have investigated how user interactions on the SERP are...
conference paper 2022
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Mostafavi, F. (author), Tahsildoost, Mohammad (author), Zomorodian, Zahra Sadat (author), Shahrestani, Seyed Shayan (author)
Purpose: In this study, a novel framework based on deep learning models is presented to assess energy and environmental performance of a given building space layout, facilitating the decision-making process at the early-stage design. Design/methodology/approach: A methodology using an image-based deep learning model called pix2pix is proposed...
journal article 2022
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Ricci, M.R. (author)
Nowadays, buying a product online is no longer about the product itself but the experience it offers. The planned thesis work aims to understand how to improve the user's shopping experience in the context of online shopping for the fashion industry. To enhance the shopping experience, retailers need to sell new services by leveraging...
conference paper 2022
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Langendam, Thijmen S. L. (author), Bidarra, Rafael (author)
Wave Function Collapse (WFC) is a powerful generative algorithm, able to create locally-similar output based on a single example input. One of the inherent limitations of the original WFC is that it often requires users to understand its inner workings, and possibly make their own ad-hoc mods, to achieve satisfactory results. Besides...
conference paper 2022
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Balayn, A.M.A. (author), He, G. (author), Hu, Andrea (author), Yang, J. (author), Gadiraju, Ujwal (author)
Access to commonsense knowledge is receiving renewed interest for developing neuro-symbolic AI systems, or debugging deep learning models. Little is currently understood about the types of knowledge that can be gathered using existing knowledge elicitation methods. Moreover, these methods fall short of meeting the evolving requirements of...
conference paper 2022
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Alfrink, Kars (author), Keller, A.I. (author), Kortuem, G.W. (author), Doorn, N. (author)
As the use of AI systems continues to increase, so do concerns over their lack of fairness, legitimacy and accountability. Such harmful automated decision-making can be guarded against by ensuring AI systems are contestable by design: responsive to human intervention throughout the system lifecycle. Contestable AI by design is a small but...
journal article 2022
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Wang, T. (author), Giunti, Guido (author), Melles, M. (author), Goossens, R.H.M. (author)
Background: The adoption and use of technology have significantly changed health care delivery. Patient experience has become a significant factor in the entire spectrum of patient-centered health care delivery. Digital health facilitates further improvement and empowerment of patient experiences. Therefore, the design of digital health is...
review 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
Searched for: subject%3A%22Human%255C+Computation%22
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