University of Pittsburgh

schoolSchoolbar_chart#105 Global Rank

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#105

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Latest papers from University of Pittsburgh

CHI '26Honorable MentionMental Health Apps & Online Support Communities +2

Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts

Peer health posts surface new uncertainties, such as questions and concerns for readers. Prior work focused primarily on improving relevance and accuracy fails to address users' diverse information needs and emotions triggered. Instead, we propose directly addressing these by information augmentation. We introduce Evi…

CHI '26Human-LLM Collaboration +2

Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions

Dialogue systems have long supported learner reflections, with theoretically grounded, rule-based designs offering structured scaffolding but often struggling to respond to shifts in engagement. Large Language Models (LLMs), in contrast, can generate context-sensitive responses but are not informed by decades of resea…

CHI '26Honorable MentionHuman-LLM Collaboration +2

Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users’ Perspectives on Opportunities, Risks, and Mitigation Strategies

Peer-run organizations (PROs) provide critical, recovery-based behavioral health support rooted in lived experience. As large language models (LLMs) enter this domain, their scale, conversationality, and opacity introduce new challenges for situatedness, trust, and autonomy. Partnering with Collaborative Support Progr…

CHI '26Generative AI (Text, Image, Music, Video) +4

Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center

Entrepreneurs in resource-constrained communities often lack time and support to translate ideas into actionable business plans. While generative AI promises assistance, most systems assume high digital literacy and overlook community infrastructures that shape adoption. We report on the community-centered design and…

CHI '26Human-Robot Collaboration (HRC) +2

How Humans Naturally Refer to Targets: Understanding Multimodal Instruction Patterns in Human–Robot Interaction

Current multimodal instruction-recognition algorithms in human-robot interaction, developed largely from a purely technical perspective, remain rigid and incomplete in their use of human communicative cues. Therefore, a full understanding of how humans naturally refer to targets in interaction is central to enabling r…

CHI '26Explainable AI (XAI) +1

When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving

The integration of artificial intelligence into autonomous vehicles (AVs) raises transparency challenges that can hinder user acceptance and experience. To address when users need AV explanations, we created a large-scale dataset of 3327 diverse driving scenarios, each paired with a user-friendly explanation, and cond…

CHI '26Cognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia) +2

CalmReminder: A Design Probe for Parental Engagement with Children with Hyperactivity, Augmented by Real-Time Motion Sensing with a Watch

Families raising children with ADHD often experience heightened stress and reactive parenting. While digital interventions promise personalization, many remain one-size-fits-all and fail to reflect parents' lived practices. We present CalmReminder a watch-based system that detects children's calm moments and delivers…

CHI '26Social Robot Interaction +2

Negotiating the Real World of Domestic Service Robotics

What values do technologists cite when evaluating technologies intended for application in "real world" social contexts like domestic settings? This paper examines the negotiation of values among the organizers who design and run the world’s largest domestic service robotics competition, RoboCup@Home. We perform an i…

CHI '26AI-Assisted Decision-Making & Automation +2

Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions

Artificial intelligence (AI)-based decision support systems can be highly accurate yet still fail to support users or improve decisions. Existing theories of AI-assisted decision-making focus on calibrating reliance on AI advice, leaving it unclear how different system designs might influence the reasoning processes u…

CHI '26Best PaperHuman-LLM Collaboration +1

RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines

Retrieval-augmented generation (RAG) pipelines have become the de-facto approach for building AI assistants with external knowledge. Given a user query, RAG pipelines retrieve (R) information from external sources, before invoking a Large Language Model (LLM), augmented (A) with this information, to generate (G) respo…

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

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University of Pittsburgh

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United States · North America

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#105

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2018-2026

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50 researchers · 0 collaborators

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AI & Machine Learning Interaction

Explainable AI (XAI)

Education & Learning Technology

Intelligent Tutoring Systems & Learning Analytics

Research Methods & Design Practice

Prototyping & User Testing

Automotive & Autonomous Vehicle Interaction

Automated Driving Interface & Takeover Design

Data Visualization & Information Design

Interactive Data Visualization