Marquette University

schoolSchoolbar_chart#184 Global Rank

Total Papers

HCI Rank

#184

Research Areas

Years Active

Recent Publications

The Promises and Perils of using LLMs for Effective Public Services

Governments are the primary providers of essential public services and are responsible for delivering them effectively. In high-stakes decision-making domains such as child welfare (CW), agencies must protect children without unnecessarily prolonging a family’s engagement with the system. With growing optimism around…

CHI '26Generative AI (Text, Image, Music, Video) +2

Who Tells the Better Story? Comparing Human and AI-Generated Narratives on Perinatal Mental Health Topics

Storytelling is a powerful tool for supporting perinatal mental health, allowing mothers process experiences, reduce isolation, and foster connection. Although generative AI is increasingly used in therapeutic and peer-support interventions, it remains unclear how AI-generated stories are perceived compared to narrati…

CHI '26Honorable MentionDeveloping Countries & HCI for Development (HCI4D) +3

How do the Global South Diasporas Mobilize for Transnational Political Change?

This paper examines how non-resident Bangladeshis mobilized during the 2024 quota-reform turned pro-democracy movement, leveraging social platforms and remittance flows to challenge state authority. Drawing on semi-structured interviews, we identify four phases of their collective action: technology-mediated shifts to…

CSCW '25Perspectives on Data Privacy

In Search of "a Way to Level the Playing Field'': Helping Incidental Users Navigate Privacy Risks in Smart Environments

Smart devices---including speakers, cameras, TVs, and sensors---are increasingly used to enhance comfort, efficiency, security, and entertainment in and outside the home. These devices collect significant audio, video, and environmental data, and that data may be shared with device owners, manufacturers, and/or third-…

CSCW '25Reflecting on Methodology

Assessing Disparities in Hybrid and Online-Only Local Support Communities

HCI aspires to achieve equitable outcomes in our sociotechnical interventions. Prior work suggests that improved evaluation and reporting of an intervention’s disparities may help achieve more equitable outcomes. We analyzed socioeconomic disparities in a hybrid and an online-only local support communities by quantita…

CHI '25Honorable MentionEmpowerment of Marginalized Groups +1

The Datafication of Care in Public Homelessness Services

Homelessness systems in North America adopt coordinated data-driven approaches to efficiently match support services to clients based on their assessed needs and available resources. AI tools are increasingly being implemented to allocate resources, reduce costs and predict risks in this space. In this study, we condu…

CHI '25AI-Assisted Decision-Making & Automation +2

Talking About the Assumption in the Room

The reference to assumptions in how practitioners use or interact with machine learning (ML) systems is ubiquitous in HCI and responsible ML discourse. However, what remains unclear from prior works is the conceptualization of assumptions and how practitioners identify and handle assumptions throughout their workflows…

CSCW '24Session 3c: Evolving Approaches to Privacy

A Roadmap for Applying the Contextual Integrity Framework in Qualitative Privacy Research

Privacy is an important topic in HCI and social computing research, and the theory of contextual integrity (CI) is increasingly used to understand how sociotechnical systems—and the new kinds of information flows they introduce—can violate privacy. In empirical research, CI can serve as a conceptual framework for expl…

MOBILEHCI '24Reproductive & Women's Health

Unveiling User Perspectives: Exploring Themes in Femtech Mobile App Reviews for Enhanced Usability and Privacy

Femtech, a growing sector in mobile healthcare technology, caters to women's needs across various life stages with digital solutions like period tracking and pregnancy management apps. Maintaining robust data privacy is crucial due to the sensitive nature of the information involved, such as menstrual cycles and pregn…

CHI '24AI Ethics, Fairness & Accountability +1

Towards a Non-Ideal Methodological Framework for Responsible ML

Though ML practitioners increasingly employ various Responsible ML (RML) strategies, their methodological approach in practice is still unclear. In particular, the constraints, assumptions, and choices of practitioners with technical duties--such as developers, engineers, and data scientists---are often implicit, subt…

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https://hci.top/en/institutions/Marquette%20University?source=all

At a Glance

Institution Snapshot

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Marquette University

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Location

United States · North America

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Overall Rank

#184

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Total Papers

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Active Years

2018-2026

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12 researchers · 0 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

AI Ethics, Fairness & Accountability

Research Methods & Design Practice

Participatory Design

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities

Ethics, Fairness, Social Justice & Inclusion

Algorithmic Fairness & Bias

Privacy, Security & Trust

Privacy by Design & User Control