University of Notre Dame

schoolSchoolbar_chart#65 Global Rank

Total Papers

103

HCI Rank

#65

Research Areas

Years Active

Recent Publications

Latest papers from University of Notre Dame

IUI '26Human-LLM Collaboration +3

Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study

Large Language Models (LLMs) are increasingly developed for use in complex professional domains, yet little is known about how teams design and evaluate these systems in practice. This paper examines the challenges and trade-offs in LLM development through a 12-week ethnographic study of a team building a pedagogical…

IUI '26Best PaperEye Tracking & Gaze Interaction +2

Gazeify Then Voiceify: Physical Object Referencing Through Gaze and Voice Interaction with Displayless Smart Glasses

Smart glasses enhance interactions with the environment by using head-mounted cameras to observe the user’s viewpoint , but lack the visual feedback used for common interactions. We introduce "Gazeify then Voiceify", a multimodal approach allowing object selection via gaze and voice using displayless smart glasses. Us…

IUI '26Human-LLM Collaboration +3

The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes

Large Language Model (LLM)-powered web GUI agents are increasingly automating everyday online tasks. Despite their popularity, little is known about how users' preferences and values impact agents' reasoning and behavior. In this work, we investigate how both explicit and implicit user preferences, as well as the unde…

CHI '26Honorable MentionUser Research Methods (Interviews, Surveys, Observation) +2

Crepe: A Mobile Screen Data Collector Using Graph Query

Collecting mobile screen information datasets remains challenging for academic researchers. Commercial organizations often have exclusive access to mobile data, leading to a “data monopoly” that restricts academic research and user transparency. Existing open-source mobile data collection frameworks primarily focus on…

CHI '26Dark Patterns Recognition +3

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight

The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the rising prominence of LLM-powered GUI agents that automate tasks from high-level intents, understanding how dark patterns affect agents is incr…

CHI '26Human-LLM Collaboration +2

Through the Lens of Human-Human Collaboration: An Configurable Research Platform for Exploring Human-Agent Collaboration

Intelligent systems have traditionally been designed as tools rather than collaborators, often lacking critical characteristics that collaboration partnerships require. Recent advances in large language model (LLM) agents open new opportunities for human-LLM-agent collaboration by enabling natural communication and va…

CHI '26Human-LLM Collaboration +3

DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors

Large language model (LLM)-based multi-agent systems have demonstrated impressive capabilities in handling complex tasks. However, the complexity of agentic behaviors makes these systems difficult to understand. When failures occur, developers often struggle to identify root causes and to determine actionable paths fo…

CHI '26Human-LLM Collaboration +3

Homeroom: A Value-Aligned and Community-Centered Homeschooling Platform

We present \textit{Homeroom}, a homeschooling platform that treats parents as reflective partners in collaboration with LLMs, integrates culturally responsive personalization for generating schooling materials, and supports the formation of small, trusted circles. Homeroom provides plan-then-generate story and curricu…

CHI '26Human-LLM Collaboration +3

Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria

Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet evaluating their outputs remains challenging. A common strategy is to apply evaluation criteria to assess alignment with domain-specific standards, yet little is understood about how criteria differ across sources or where each type…

CHI '26Honorable MentionIntelligent Voice Assistants (Alexa, Siri, etc.) +3

My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom

AI VTubers, where the performer is not human but algorithmically generated, introduce a new context for fandom. While human VTubers have been substantially studied for their cultural appeal, parasocial dynamics, and community economies, little is known about how audiences engage with their AI counterparts. To address…

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https://hci.top/en/institutions/University%20of%20Notre%20Dame?source=all

At a Glance

Institution Snapshot

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University of Notre Dame

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United States · North America

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Overall Rank

#65

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Total Papers

103

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Active Years

2018-2026

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50 researchers · 3 collaborators

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AI & Machine Learning Interaction

Human-LLM Collaboration

Research Methods & Design Practice

Participatory Design

Ethics, Fairness, Social Justice & Inclusion

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Social Media & Online Communities

Social Platform Design & User Behavior

Education & Learning Technology

Collaborative Learning & Peer Teaching