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 44 for “"AI Agents"”.
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Towards Realistic Embodied AI Agents
… of a growing field of inquiry within the broader AI community termed as "Embodied AI". Problems studied under the umbrella of Embodied AI include the introduction of scene datasets and simulators to train AI agents to perform a wide spectrum of tasks requiring a curriculum of capabilities. While …
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Designing AI agents to improve virtual meeting inclusion
… investigates how artificial intelligence (AI) agents can be designed to improve inclusion in workplace meetings through three interconnected projects blending qualitative interviews, user-centered design, a lab study, and a field deployment. The first project investigates causes of …
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Optimizing AI Agents for Automated Software Engineering with Palimpzest
… of large language models (LLMs) as autonomous agents is transforming the software development landscape. Increasingly more engineers are using natural language agents to expedite and guide development workflows, while large organizations are investing heavily on building agentic systems for …
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Building Strategic AI Agents for Human-centric Multi-agent Systems
… addresses the challenge of developing strategic AI agents capable of effective decision-making and communication in human-centric multi-agent systems. While significant progress has been made in AI for strategic decision-making, creating agents that can seamlessly interact with humans in …
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Non-judgmental AI: investigating the potential of AI agents to alleviate anxiety and reduce fear of judgment under social evaluative threat
As artificial intelligence (AI) becomes increasingly integrated into customer service, users still generally prefer human agents over AI agents. It remains unclear in which specific contexts AI agents may be favored over human agents by customers. This research focuses on social evaluative threat, …
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Creating Your Own Conversational Artificial Intelligence Agents Using Convo, a Conversational Programming System
… Despite their ubiquity, these conversational AI agents still largely remain a mystery to many, in terms of how they work and what they can do. To lower the barrier to entry to understanding and creating these conversational AI agents for young students, I expanded on Convo, a conversational …
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Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output
AI-based virtual assistants are increasingly used to support daily ideation tasks. The values or bias present in these agents can influence output in hidden ways. They may also affect how people perceive the ideas produced with AI agents of different value alignments and lead to implications for …
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Code-Upload AI Challenges on EvalAI
… We have developed several tools such as EvalAI which helps us in evaluating the performance of these systems and to push the frontiers of machine learning and artificial intelligence. Initially, the AI community focussed on simple and traditional methods of evaluating these systems in the …
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Artificial General Intelligence (AGI)-Native Wireless Systems: Digital Twins and World Models for Beyond 6G Networks
… support physical artificial intelligence (AI) agents (e.g., robots, autonomous vehicles, etc.) requires advanced levels of intelligence beyond today's state-of-art. On the one hand, the 6G vision of AI-native networks typically relies on standard AI methods (e.g., neural networks) that …
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Fully moral artificial agents: future or fiction
… the development of Artificially Intelligent agents (AI) for various purposes. The extensive progress in AI has reached a point where the introduction of AI agents as android robots or humanoids into society is plausible. This highlights the evolving relationship between humans and technology. …
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Social and affective machine learning
… capabilities of artificial intelligence (AI), through social learning both from humans and from other AI agents. First, I show how AI agents can learn from the causal influence of their actions on other agents, leading to enhanced coordination and communication in multi-agent reinforcement …
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Goal Inference from Open-Ended Dialog
Embodied AI Agents are quickly becoming important and common tools in society. These embodied agents should be able to learn about and accomplish a wide range of user goals and preferences efficiently and robustly. Large Language Models (LLMs) are often used as they allow for opportunities for rich …
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Hands in action: from 4D reconstruction to animation and robotics
… several tasks with different objects on a daily basis. Imagine if we can develop AI agents, either digital (in the form of animation sequences) or physical (such as real-world robots), that allow us to interact with the environment in the same way as our hands. Digital agents can enable …
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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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The Emancipatory Role of Technology in Mental Healthcare: The Case of Conversational Artificial Intelligence and Digital Platforms
… Accessibility, affordability, lack of trained personnel, and stigmatization are among the most pressing mental health issues of our time. They act as serious obstacles to comprehensive solutions for this critical global problem, a situation that is getting worse at an alarming rate given …
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Automating the screenplay : the creative and technical viability of AI in screenwriting.
… of generative artificial intelligence (AI) in screenwriting through the development and evaluation of a custom AI-assisted framework. Employing qualitative research methods, guided by George Kozmetsky’s creative and innovative management loop, the study assesses existing AI-driven …
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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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Body Pose Predictions in Triadic Social Interactions
… gesturing with their hands, moving around etc.. AI agents or algorithms interacting with humans which we refer to as Social artificial intelligence must learn to interpret and predict these signals in order to use them to interact with other humans successfully. Data-driven approaches have helped …
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Synthesizing play: exploring the use of artificial intelligence to evaluate game user experience
… methodology is usertesting, where researchers gain insights from human users interacting with products. However, usertesting is expensive in terms of expert labour, time, and resource costs. To address these concerns, we developed PathOS, a free, open-source tool for game testing with AI agents. …
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Aiding the experts: how artificial intelligence can augment expert evaluation with PathOS+
… but are time consuming and resource intensive. AI agents have been able to mitigate the issues of playtesting, and the data generated from these agents can supplement expert evaluation. To that end we introduce PathOS+. This tool allows the simulations of agents and has features that allows …
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