Searched for: subject%3A%22Collaboration%22
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Dönmez, Ahmet (author)
Background<br/>This research explores the role of visualization tools in enhancing collaborative learning in virtual reality environments.<br/>Methodology<br/>An experiment was conducted, involving two groups of participants, each tasked with collaboratively solving a complex maze in a virtual reality environment. Both groups experienced two...
bachelor thesis 2023
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Nestorov, Ivan (author)
In ad-hoc cooperative environments, the usage of artificial intelligence to take supportive roles and work in collaboration with humans has proven to be of great benefit. The objective of this research is to evaluate the use of population-based training for reinforcement learning agents in a simplified version of the multiplayer game -...
bachelor thesis 2023
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Marcu, Alexandra (author)
Intelligent agents are increasingly required to engage in collaboration with humans in the context of human-agent teams (HATs) to achieve shared goals. Interdependence is a fundamental concept in teamwork. It enables humans and robots to leverage their capabilities and collaboratively work towards a shared goal, fostering the development of...
bachelor thesis 2023
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Tanahashi, Kanta (author)
Nowadays, Human Autonomy Teams (HATs) are incorporated in many fields, where humans and autonomous agents work collaboratively to combine their capabilities with the ultimate goal of performing tasks more efficiently. In such environments, it is imperative to sustain a high level of trust between the agents as collaboration is not possible...
bachelor thesis 2023
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Rook, Brian (author)
Background<br/>Virtual Reality is an increasingly hot topic these days. As a user, you can play more and more high-quality games and strides are being made to use this medium for education and new kinds of workspaces. Previous research on Virtual Reality shows that it could improve teamwork by letting users share information easier. Users in...
bachelor thesis 2023
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Gómez Mena, Teresa (author)
Despite Virtual Reality being a relatively new field, it is steadily being introduced into numerous disciplines, such as education. Within these systems, particularly in collaborative environments, it is crucial to have a high Share Situational Awareness (SSA) in order to be aware of ones’ surroundings, encourage efficient decision making and...
bachelor thesis 2023
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Guo, Ching (author)
Background: The advancements in Virtual Reality (VR) technology have opened up new possibilities for studying human dynamics and conducting experiments in immersive environments. To gain insights into collaborative learning and how it can be enhanced, an experiment was conducted to investigate the effects of visualizations of activities in VR on...
bachelor thesis 2023
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Ordonez Cardenas, Nathan (author)
A longstanding problem in the area of reinforcement learning is human-agent col- laboration. As past research indicates that RL agents undergo a distributional shift when they start collaborating with human beings, the goal is to create agents that can adapt. We build upon research using the two-player Overcooked environment to repro- duce a...
bachelor thesis 2022
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Moreira-Kanaley, Janaína (author)
In an ad-hoc teamwork environment, artificial intelligence agents have the potential to take on supportive roles and complete tasks in collaboration with human players. The following paper investigates the use of employing population-based training (PBT) for reinforcement learning agents in the multi-player game Overcooked. In addition to this,...
bachelor thesis 2022
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Mundhra, Yash (author)
Recommender systems are an essential part of online businesses in today's day and age. They provide users with meaningful recommendations for items and products. A frequently occurring problem in recommender systems is known as the long-tail problem. It refers to a situation in which a majority of the items in the data set have limited ratings...
bachelor thesis 2022
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Monté, Sérénic (author)
Collaborative filtering is used to predict the preference or rating of a user for a certain item. Collaborative filtering is based on the notion that similar users rate similarly. A lot of research is done on how to improve this algorithm, mostly with deep learning. A less investigated field for recommender systems is graph signal processing....
bachelor thesis 2022
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Mariūnas, Karolis (author)
Recommender systems (RS) assist users in making decisions by filtering content that the user would likely find relevant. Standard techniques like collaborative filtering exploit user similarities to find the recommendations assuming that similar users are likely to be interested in the same items. On the other hand, graph RS borrow techniques...
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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Lindhorst, Paul (author)
Human-AI teams require trust to operate efficiently and solve certain tasks like search &amp; rescue. Trustworthiness is measured using the ABI model; Ability, Benevolence and Integrity. This research paper tries to observe the effect a conflicting robot has on the human trustworthiness. The hypothesis we try to test is: “human trustworthiness...
bachelor thesis 2022
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Rademaker, Justin (author)
As technology advances, automated systems become more autonomous which leads to a higher interdependence between machine and human. Much research has been done about trust between humans and trust of humans regarding machines. An interesting question that remains is how the behavior of an agent influences human trustworthiness in a human-agent...
bachelor thesis 2022
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Dinu, Iulia (author)
The number of collaborations between humans and artificial agents has risen steeply in recent years due to the rapid expansion of AI. Numerous studies in social sciences have already established that trust is a crucial factor in ensuring effective teamwork. While the dynamics of trust in human-human relationships or the effects of human...
bachelor thesis 2022
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Rubio Bizcaino, Andrzej (author)
This paper aims to define the broad concept of fairness and investigate how it can be measured, especially considering fairness in automated negotiations. The report relies on the work on fairness issues that have been derived from the research of C. Albin [1]. Firstly, the paper elaborates on different fairness metrics from the literature...
bachelor thesis 2022
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Romanov, Danila (author)
Despite evidence that collaborating in the supply chain can reduce inefficiency and result in mutual gain, parties do not wish to collaborate if they have to share their private proprietary information. The main reason for their privacy concern is that the party does not want to lose their competitive advantage by giving away company secrets....
bachelor thesis 2021
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Zhao, Chengrui (author)
Collaborative search is "the retrieval and sensemaking of information by multiple users with the same information need". The experience of collaborative search can be improved by employing a chatbot which is "a program designed to counterfeit a smart communication". Chatbot makes it easier for the users to be aware of each other's activities and...
bachelor thesis 2021
Searched for: subject%3A%22Collaboration%22
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