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 interaction"”.
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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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Shifting paradigms in the UX evaluation of human-AI interaction: From dyadic to monadic designs
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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Investigating the Use of Physiological and Behavioral Signals to Facilitate Empathic Human-AI Interaction for Daily Stress Management
… EmLLMs demonstrate promise for daily stress management, and expert evaluations provide further insights into refining the design of physiology-driven EmLLMs for real-world and clinical use. Performance and stability evaluations of multimodal LLMs show that multimodal behavioral …
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The Power of Perception in Human-AI Interaction: Investigating Psychological Factors and Cognitive Biases that Shape User Belief and Behavior
… psychological factors that influence belief in AI predictions, comparing them to belief in astrology- and personality-based predictions, and examines the "personal validation effect" in the context of AI, particularly with Large Language Models (LLMs). Through two interconnected studies …
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The Effect of Social Information on Reliance and Efficacy in AI-assisted Prediction
… influence? Through a pre-registered randomized human-subject experiment, I study the effect of two forms of social information-direct conversations and summarized peer decisions----on users' reliance and effectiveness in leveraging algorithmic advice across a series of decision-making tasks, and …
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Cyborg Psychology: The Art & Science of Designing Human-AI Systems that Support Human Flourishing
As Artificial Intelligence (AI) becomes increasingly integrated into our daily lives, understanding the psychological implications of human-AI interaction is crucial for developing systems that truly support human capabilities. This dissertation introduces “Cyborg Psychology,” an interdisciplinary, …
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Explainable Interactive Projections for Image Data
… similarities, but provide little support for explaining why images were placed together or apart in the 2D space. Additionally, they do not provide support for modifying and updating the 2D space to explore new relationships and organizations of images. To address these problems, we present an …
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Towards Human-AI Teaming for Skill Development: From Dyadic Interview Practice to Triadic Programming Collaboration
… has become critical. This thesis explores how AI can support skill development in these domains, progressing from AI as a sole practice partner to AI as a collaborative teammate. Our first two studies investigate LLM-based conversational AI for interview preparation. Study 1 developed an …
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Human-AI Sensemaking with Semantic Interaction and Deep Learning
Human-AI interaction can improve overall performance, exceeding the performance that either humans or AI could achieve separately, thus producing a whole greater than the sum of the parts. Visual analytics enables collaboration between humans and AI through interactive visual interfaces. Semantic …
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Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise
The learned behaviors of AI systems and robots should align with the intentions of their human designers. In service of this goal, people—especially experts—must be able to easily specify, inspect, model, and revise AI system and robot behaviors. These four interactions are critical building blocks …
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Human-AI Handshaking: Supporting Extreme Sensemaking through Trustworthy Shared Perception
… operations. These contexts are marked by uncertainty, fragmented information, and time-critical decisions that stretch human cognitive and physical limits. Artificial intelligence (AI) offers potential assistance, but distributed AI systems that rely on object detection, such as drone swarms, …
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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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Building Human Digital Twins through Natural Language Processing: From Conversations to Knowledge
Human Digital Twins (HDTs) are a revolutionary advancement in human-computer interaction, offering personalised digital representations of individual knowledge, behaviour, and preferences. These sophisticated systems face fundamental challenges in ensuring the reliable organisation and processing …
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Designing AI agents to improve virtual meeting inclusion
… from in-person gatherings into computer-mediated interactions, creating opportunities for developing tools to improve them at scale. However, deploying effective technical interventions requires understanding users’ values, design preferences, and outcomes in real workplace contexts. This …
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Advanced Computer Vision for Smart Retail: From Anomaly Detection to Fine-grained Product Classification
The rapid evolution of smart retail environments has created a pressing need for advanced computer vision solutions capable of addressing critical operational challenges, particularly in automated anomaly detection, fine-grained product classification, and interactive product localization. Existing …
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Designing Behavior-Aware AI Systems to Influence Human Decision-Making
Artificial intelligence (AI) demonstrates superiority over humans in many applications, such as image processing, speech recognition, and decision-making. AI systems are more efficient and accurate in information processing and computation, making them invaluable in assisting human decision-making …
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The Study and Design of Human-AI Thought Partnerships
Humans have long thought together. Advances in AI supports multi-turn conversation in natural language fundamentally alters our relationship with AI and teases the possibility that AI systems too can think together with us: moving from tools for thought to potentially being "partners'' in thought. …
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Speech-Based Emotion Modelling and Mental Disorder Detection
… are crucial for artificial intelligence (AI) systems to achieve enhanced contextual understanding and adaptive, personalised human-AI interaction. Speech contains important clues for detecting emotion through a variety of vocal characteristics such as prosody, along with speech patterns …
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AI-in-the-loop human interventions for homelessness resource allocation
Rapid improvements in real-world AI systems have created opportunities to improve the efficiency and effectiveness of human resource allocation decisions. The use of AI in public resource allocation is promising in its ability to reduce administrative burden while optimally solving complex resource …
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Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application
… bias, and accuracy, yet little guidance is available for designers and developers. We explore solutions to these challenges in a four-phase design process to create Civil War Twin (CWT), an educational web-based application where users can discover their lookalikes from the American Civil War …
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