Microsoft

Top 10 Global

apartmentCompanybar_chart#7 Global Rank

Total Papers

492

HCI Rank

Research Areas

Years Active

Recent Publications

Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study

Large Language Models (LLMs) are increasingly developed for use in complex professional domains, yet little is known about how teams design and evaluate these systems in practice. This paper examines the challenges and trade-offs in LLM development through a 12-week ethnographic study of a team building a pedagogical…

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

ReUseIt: Synthesizing Reusable AI Agent Workflows for Web Automation

AI-powered web agents have the potential to automate repetitive tasks, such as form filling, information retrieval, and scheduling, but they struggle to reliably execute these tasks without human intervention, requiring users to provide detailed guidance during every run. We address this limitation by automatically sy…

CHI '26Human-LLM Collaboration +2

DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection

AI has been increasingly integrated into screenwriting practice. In refinement, screenwriters expect AI to provide feedback that supports reflection across the internal perspective of characters and the external perspective of the overall story. However, existing AI tools cannot sufficiently coordinate the two perspec…

CHI '26Honorable MentionHuman-LLM Collaboration +3

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

Multidisciplinary tumor boards (MTBs) bring specialists together to identify therapies for complex cancer cases, but preparing for them is time-intensive. Clinicians must extract key details from extensive records and evaluate treatment options. While large language models (LLMs) show promise in medicine for basic tas…

CHI '26Human-LLM Collaboration +3

The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows

Users of feature-rich tools like Excel often miss more efficient workflows, repeating tedious steps and making avoidable errors. Current approaches to helping them require either manual prompting, which is effortful for users, or automated logging, which is limiting for developers. We present InvisibleMentor, a system…

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

Three Modalities, Two Design Probes, One Prototype, and No Vision: Experience-Based Co-Design of a Multi-modal 3D Data Visualization Tool

Three-dimensional (3D) data visualizations, such as surface plots, are vital in STEM fields from biomedical imaging to spectroscopy, yet remain largely inaccessible to blind and low-vision (BLV) people. To address this gap, we conducted an Experience-Based Co-Design with BLV co-designers with expertise in non-visual d…

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

Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape

Generative AI agents are reshaping human-computer interaction, shifting users from direct task execution to supervising machine-driven actions, especially the rise of ``\emph{vibe coding}'' in programming. Yet little is known about how programmers who use screen readers interact with AI code assistants in practice.…

CHI '26Human-LLM Collaboration +2

From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants

AI-based writing assistants are ubiquitous, yet little is known about how users’ mental models shape their use. We examine two types of mental models—functional or related to what the system does, and structural or related to how the system works—and how they affect control behavior—how users request, accept, or edit…

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

From Struggle to Success: Context-Aware Guidance for Screen Reader Users in Computer Use

Equal access to digital technologies is critical for education, employment, and social participation. However, mainstream interfaces are visually oriented, creating steep learning curves and frequent obstacles for screen reader users, and limiting their independence and opportunities. Existing support is inadequate-…

CHI '26Human-LLM Collaboration +3

Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria

Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet evaluating their outputs remains challenging. A common strategy is to apply evaluation criteria to assess alignment with domain-specific standards, yet little is understood about how criteria differ across sources or where each type…

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https://hci.top/en/institutions/Microsoft?source=all

At a Glance

Institution Snapshot

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Display Name

Microsoft

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Location

United States · North America

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Overall Rank

article

Total Papers

492

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Active Years

2018-2026

groups

Network

50 researchers · 12 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

Human-LLM Collaboration

194

Data Visualization & Information Design

Interactive Data Visualization

101

Accessibility & Inclusive Design

Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)

Research Methods & Design Practice

Prototyping & User Testing

Virtual, Augmented & Mixed Reality (XR)

Immersion & Presence Research