University of North Carolina at Charlotte

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#259

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Latest papers from University of North Carolina at Charlotte

CHI '26Privacy Perception & Decision-Making +2

From Fear to Control: Developing a Three-Factor Scale for Cybersecurity Anxiety (CybAS)

Cybersecurity anxiety captures the persistent worry, stress and perceived lack of control individuals experience when navigating digital threats. While prior research has examined privacy concerns, computer anxiety and related constructs, no validated instrument exists to specifically measure anxiety in cybersecurity…

CHI '26Human-LLM Collaboration +2

When AI Gets It Wrong: Scaffolding AI Hallucination Detection for Children Through Chatbot Creation

Children increasingly interact with generative AI systems that can produce hallucinated content, potentially reinforcing misconceptions and undermining critical thinking skills. We investigate how children detect and respond to hallucinations while building and testing LLM-powered chatbots in a development environment…

CHI '25Electrical Muscle Stimulation (EMS) +2

``I want to think like an SLP'': A Design Exploration of AI-Supported Home Practice in Speech Therapy

Parents of children in speech therapy play a crucial role in delivering consistent, high-quality home practice, which is essential for helping children generalize new speech skills to everyday situations. However, this responsibility is often complicated by uncertainties in implementing therapy techniques and keeping…

CHI '24Privacy by Design & User Control +1

The Impact of Risk Appeal Approaches on Users’ Sharing Confidential Information

End-to-end encrypted email can help users prevent unauthorized access of their sensitive information. However, many users struggle to utilize encryption tools due to usability issues and low understanding. Thus, we designed video messaging interventions to persuade users to use email encryption software (Virtru). Our…

CC '23Generative AI (Text, Image, Music, Video) +2

User Perspectives on Ethical Challenges in Human-AI Co-Creativity: A Design Fiction Study

In a human-AI co-creation, AI not only categorizes, evaluates and interprets data but also generates new content and interacts with humans. As co-creative AI is a form of intelligent technology that directly involves humans, it is critical to anticipate and address ethical issues during all design stages. The open-end…

CHI '23Smart Home Interaction Design +2

Co-designing Community-based Sharing of Smarthome Devices for the Purpose of Co-monitoring In-home Emergencies

We conducted 26 co-design interviews with 50 smarthome device owners to understand the perceived benefits, drawbacks, and design considerations for developing a smarthome system that facilitates co-monitoring with emergency contacts who live outside of one's home. Participants felt that such a system would help ensure…

CHI '23Data Storytelling +2

When do Data Visualizations Persuade? The Impact of Prior Attitudes on Learning about Correlations from Scatterplot Visualizations

Data visualizations are vital to scientific communication on critical issues such as public health, climate change, and socioeconomic policy. They are often designed not just to inform, but to persuade people to make consequential decisions (e.g., to get vaccinated). Are such visualizations persuasive, especially when…

CC '22Generative AI (Text, Image, Music, Video) +2

Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systems

Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In a creative collaboration, communication is an essential component among collaborators. In many existing co-creative systems, users can communicate with the AI, usually using buttons or sliders. Typically, the AI in…

CHI '20Smart Home Interaction Design +2

Smart Home Beyond the Home: A Case for Community-Based Access Control

As smart devices are becoming commonplace in homes, we need to explore the needs of not just the residents of the home, but also of secondary stakeholders who may be granted access to these devices from outside of the home. We conducted a mixed methods study, which included a survey of 163 smart home device owners and…

CHI '20Honorable MentionConversational Chatbots +1

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

Humans quite frequently interact with conversational agents. The rapid advancement in generative language modeling through neural networks has helped advance the creation of intelligent conversational agents. Researchers typically evaluate the output of their models through crowdsourced judgments, but there are no est…

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https://hci.top/en/institutions/University%20of%20North%20Carolina%20at%20Charlotte?source=all

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University of North Carolina at Charlotte

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United States · North America

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#259

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2018-2026

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28 researchers · 0 collaborators

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AI & Machine Learning Interaction

Human-LLM Collaboration

Privacy, Security & Trust

Privacy Perception & Decision-Making

Research Methods & Design Practice

Participatory Design

Data Visualization & Information Design

Interactive Data Visualization

Smart Home & Internet of Things (IoT)

Smart Home Interaction Design