Allen Institute

account_balanceOtherbar_chart#170 Global Rank

Total Papers

HCI Rank

#170

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Years Active

Recent Publications

Cocoa: Co-Planning and Co-Execution with AI Agents

As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel interaction designs that enable deeper human-agent collaboration. However, most prior works leverage human interaction to fix "autonomous" workflows that have yet to become fully…

CHI '26Honorable MentionHuman-LLM Collaboration +3

Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation

Recent advances in multi-agent systems (MAS) enable tools for information search and ideation by assigning personas to agents. However, how users can effectively control, steer, and critically evaluate collaboration among multiple domain-expert agents remains underexplored. We present Perspectra, an interactive MAS th…

CHI '25Human-LLM Collaboration +2

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback

Research ideation involves broad exploring and deep refining ideas. Both require deep engagement with literature. Existing tools focus primarily on broad idea generation, yet offer little support for iterative specification, refinement, and evaluation needed to further develop initial ideas. To bridge this gap, we int…

CHI '25Human-LLM Collaboration +1

Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation

AI agents are increasingly tasked with making proactive suggestions in online spaces where groups collaborate, yet risk being unhelpful or even annoying if they fail to match group preferences or behave in socially inappropriate ways. Fortunately, group spaces have a rich history of prior interactions and affordance…

UIST '24Human-LLM Collaboration +1

Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific Papers

Navigating the vast scientific literature often starts with browsing a paper’s abstract. However, when a reader seeks additional information, not present in the abstract, they face a costly cognitive chasm during their dive into the full text. To bridge this gap, we introduce recursively expandable abstracts, a novel…

CC '24Human-LLM Collaboration +1

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers

The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions has led to increased interest in their use across various support tools. We investigate the effectiveness of contemporary LLMs in assisting professional writers via an empirical user study (n=3…

CHI '24Best PaperSocial Platform Design & User Behavior +2

Mitigating Barriers to Public Social Interaction with Meronymous Communication

In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behavior and hide the social context that motivates people to participate and helps them tailor their communication. We explore a design space o…

CHI '24Human-LLM Collaboration +1

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers

With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that are similar to previously collected papers. However, researchers sometimes struggle to make sense of nuanced connections between recommended…

CHI '24Human-LLM Collaboration +3

Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience

Language models (LMs) show promise as tools for communicating science to the general public by simplifying and summarizing complex language. Because models can be prompted to generate text for a specific audience (e.g., college-educated adults), LMs might be used to create multiple versions of plain language summaries…

CHI '24Human-LLM Collaboration +3

Counterspeakers’ Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate

Counterspeech, i.e., direct responses against hate speech, has become an important tool to address the increasing amount of hate online while avoiding censorship. Although AI has been proposed to help scale up counterspeech efforts, this raises questions of how exactly AI could assist in this process, since counterspe…

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At a Glance

Institution Snapshot

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Display Name

Allen Institute

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Location

United States · North America

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Overall Rank

#170

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Total Papers

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Active Years

2018-2026

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16 researchers · 0 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

Human-LLM Collaboration

Research Methods & Design Practice

Prototyping & User Testing

Data Visualization & Information Design

Interactive Data Visualization

Crowdsourcing, Collaboration & Remote Work

Crowdsourcing Task Design & Quality Control

Creative Tools & Content Creation

Creative Collaboration & Feedback Systems