Harvard University

schoolSchoolbar_chart#46 Global Rank

Total Papers

142

HCI Rank

#46

Research Areas

Years Active

Recent Publications

The Shape of My-AI: How Multimodality Shapes Trust and Persuasion in Interactions with an AI-Generated Future Self

AI-generated future selves allow people to engage in dialogue with a personalized digital representation of themselves decades ahead, yet it remains unclear how presentation modality shapes their psychological impact. We report a randomized between-subjects study (n=92) comparing three modalities of an AI-generated fu…

IUI '26Human-LLM Collaboration +2

Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining

Markets increasingly accommodate large language models (LLMs) as autonomous decision-making agents. As this transition occurs, it becomes critical to evaluate how these agents behave relative to their human and task-specific statistical predecessors. In this work, we present results from an empirical study comparing h…

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

Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Department

Serious Illness Conversations (SICs)—discussions about values and care preferences for patients with life-threatening illness—rarely occur in Emergency Departments (EDs), despite evidence that early conversations improve care alignment and reduce unnecessary interventions. We interviewed 11 ED providers to identify ch…

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

A Paradigm for Creative Ownership

As generative AI tools become embedded in creative practice, questions of ownership in co-creative contexts are pressing. Yet studies of human-AI collaboration often invoke "ownership" without definition: sometimes conflating it with other concepts, and other times leaving interpretation to participants. This inconsis…

CHI '26Explainable AI (XAI) +2

"It just requires so much more creativity": Barriers and Workarounds to Gathering Information for AI Contestation

Gathering information about AI systems is essential for contesting their use; it forms the basis of arguments about how AI is causing harm. Information thus plays a central role for advocates like lawyers, journalists, and auditors contesting harmful AI systems. However, there is little systematic understanding of how…

CHI '26Interactive Data Visualization +2

Automatic Synthesis of Visualization Design Knowledge Bases

Formal representations of the visualization design space, such as knowledge bases and graphs, consolidate design practices into a shared resource and enable automated reasoning and interpretable design recommendations. However, prior approaches typically depend on fixed, manually authored rules, making it difficult to…

CHI '26Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +2

Nonvisual Support for Understanding and Reasoning about Data Structures

Blind and visually impaired (BVI) computer science students face systematic barriers when learning data structures: current accessibility approaches typically translate diagrams into alternative text, focusing on visual appearance rather than preserving the underlying structure essential for conceptual understanding.…

CHI '26Best PaperSerious & Functional Games +2

BRIDGE: Borderless Reconfiguration for Inclusive and Diverse Gameplay Experience via Embodiment Transformation

Training resources for parasports are limited, reducing opportunities for athletes and coaches to engage with sport-specific movements and tactical coordination. To address this gap, we developed BRIDGE, a system that integrates a reconstruction pipeline, which detects and tracks players from broadcast video to genera…

CHI '26Behavior Change & Reflection Technology +2

Breaking Negative Cycles: A Reflection-to-Action System for Adaptive Change

Breaking negative mental health cycles, including rumination and recurring regrets, requires reflection that translates awareness into behavioral change. Grounded in the Transtheoretical Model (TTM) and Gross’s Emotion Regulation (ER) Process Model, we examine how Technologies Supporting Self-Reflection (TSR) bridge r…

CHI '26Generative AI (Text, Image, Music, Video) +3

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Traditional human-computer interaction takes place through formally-specified systems like structured UIs and programming languages. Recent AI systems promise a new set of informal interactions with computers through natural language and other notational forms. These informal interactions can then lead to formal repre…

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At a Glance

Institution Snapshot

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Display Name

Harvard University

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Location

United States · North America

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Overall Rank

#46

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Total Papers

142

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Active Years

2018-2026

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Network

50 researchers · 8 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

Human-LLM Collaboration

Data Visualization & Information Design

Interactive Data Visualization

Ethics, Fairness, Social Justice & Inclusion

Algorithmic Fairness & Bias

Research Methods & Design Practice

Computational Methods in HCI

Creative Tools & Content Creation

Creative Collaboration & Feedback Systems