Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 30 for “"human-AI collaboration"”.
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Error discovery through human-AI collaboration
… has been a recent rise in increasingly effective human-Al teams in areas such as autonomous driving, manufacturing, and robotics, many catastrophic failures still occur. Understanding the cause(s) of these errors is crucial for reducing and fixing them. One source of error is due to an agent's or …
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A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
… an intelligent system. Artificial intelligence (AI) research, including machine learning, computer vision, and natural language processing, requires large amounts of annotated data. The current research and development pipeline involves each group collecting their own datasets using an annotation …
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Exploring the Role of Trust during Human-AI Collaboration in Managerial Decision-Making Processes
… of using Artificial Intelligence-based (AI-based) models to assist human decision-makers, little is known about how managers in business environments approach AI-assisted decision-making. To this end, our research is guided by two questions: (1) What facets make the Human (Manager)-AI …
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The New Creative Alliance: Investigating the Dynamics of Human-AI Collaboration in Creative Endeavours
… thesis investigates the transformative impact of AI, especially Generative Artificial Intelligence (GenAI) on creativity, exploring the profound ways in which AI reshapes the creative landscape and human-AI collaboration. With AI’s evolution, it has become an active co-creator, challenging our …
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Toward an Integrative Study of Human-AI Interaction
As artificial intelligence (AI) systems are increasingly embedded in the workflows of individuals and groups, designers and researchers of human-AI interaction (HAI) navigate a vast design space of possible configurations, making decisions that span algorithmic parameters, interface choice, and …
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Backdrop Explorer: A Human-AI Collaborative Approach for Exploring Studio Backdrops in Civil War Portraits
In historical photo research, the presence of painted backdrops have the potential to help identify subjects, photographers, locations, and jl{events surrounding} certain photographs. Yet, research processes around these backdrops are poorly documented, with no known tools to aid in the task. We …
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Statistical Gems in AI: Toward Reliable and Efficient Intelligence
… of large language models (LLMs) has reshaped how humans create, reason, and communicate, yet their reliability and efficiency remain imperfectly understood. This dissertation develops statistical tools to evaluate and enhance these systems. We demonstrate how hypothesis testing, coupling methods, …
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Machine social intelligence in Virtualhome
… in multiple agents. In the challenge, an AI agent needs to help a human-like agent perform a complex household task efficiently. To succeed, the AI agent needs to i) understand the underlying goal of the task by watching a single demonstration of the human-like agent performing the same …
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Human-AI Mechanisms for Scholarly Knowledge Synthesis
… body of knowledge. While recent advances in AI offer potential solutions to support researchers in engaging with the literature, effectively integrating these techniques into existing research processes requires a richer understanding of how these AI mechanisms can both enhance and threaten …
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Behind the Scenes: Evaluating Computer Vision Embedding Techniques for Discovering Similar Photo Backgrounds
… For example, many 19th century photographs contain painted backdrops that can be mapped to a specific photographer or location, but this research process is often manual, time-consuming, and unsuccessful. AI-based computer vision algorithms could be used to automatically identify painted …
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Controlling the "Uncontrollable": Tensions, Agency and Control in AI-Augmentation
Artificial Intelligence (AI) is present in many aspects of our lives. Organisations often adopt AI to increase speed or productivity, or to reduce costs. However, many still struggle to achieve the desired outcomes as the introduction of AI impacts not only the business processes, but more …
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Ideator Explorer: Enhancing AI-Assisted Ideation through Interactive Visualization
Current AI-assisted ideation systems, often based on linear chat interfaces, struggle to help users effectively manage the complexity of creative exploration, hindering both divergent thinking across multiple paths and the convergent synthesis of ideas. This thesis introduces and evaluates Ideator …
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Essays on Online Platforms and Human-Algorithm Interaction
This dissertation contains three chapters that analyze how algorithms on social media platforms influence the content that users engage with and how individuals incorporate algorithmic predictions in their decision-making. In Chapter 1, I study how engagement maximizing news feed algorithms on …
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SleuthTalk: Addressing the Last-Mile Problem in Historical Person Identification with Privacy, Collaboration, and Structured Feedback
… historical person identification still remains challenging. Researchers especially struggle with the ``last mile problem" of historical person identification, where they must make a selection among a small number of highly similar candidates. Collaboration, including both human-AI …
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Can AI Be a Good Leader? Exploring the Effects of Artificial Intelligence Directive Leadership
Artificial Intelligence (AI) is swiftly reconfiguring workplaces and redefining established employee roles, positioning AI as an important force in management. Prior research has largely examined human-AI collaboration, highlighting AI’s supportive role in areas such as problem resolution, …
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Bridging the Health Divide: Achieving Equitable Healthcare Access in Kenya through Artificial Intelligence
… application of Artificial Intelligence (AI), particularly Generative Pre-trained Transformer (GPT) models, in designing culturally sensitive hospitals for rural Kenya. The research addresses the critical need for improved healthcare infrastructure in underserved areas, focusing on the …
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Artificial intelligence (AI) in the public service: Public administrator perspectives on leveraging AI to support citizen and stakeholder engagement
… (NLP), a branch of artificial intelligence (AI) that can automatically filter, parse, understand, interpret, and synthesize large amounts of human language. This research assesses the potential of AI for managing the anticipated flood of citizen and stakeholder inputs from digital engagement …
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Unlocking the Potential: Exploring the Impact of Generative Artificial Intelligence in Agile Software Engineering
… rise of Generative Artificial Intelligence (GenAI) is revolutionizing Agile software engineering, unlocking new levels of productivity, efficiency, and innovation. As organizations increasingly integrate GenAI-powered tools, understanding their impact on Agile workflows is critical. Industry …
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Teamwork and Artificial Intelligence (AI) : Examining the Effects of Teammate Identity, Deception, and AI Literacy on Team Dynamics and Performance in Human-Human vs. Human-AI Teams
<p>As artificial intelligence (AI) continues to be integrated into collaborative work environments, understanding how humans interact with AI teammates is increasingly important. This study examined how people’s beliefs about who they are working with (whether a teammate is human or AI) can …
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Communication and generalization in multi-agent learning
Multi-agent learning aims to allow artificial intelligence (AI) agents to learn from interactions with other agents in an environment. However, as AI increasingly integrates into real-world systems, significant challenges arise in how to robustly interact with and communicate with a variety of …
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