Jeffrey Bigham
Associate Professor
Studies human-AI interaction and accessibility, including crowd-powered and AI-powered assistive systems.
Jeffrey Bigham's lab at CMU works on interfaces & interaction techniques, human-AI collaboration & trust and human-robot interaction & assistive robots. 36 papers since 2023, 26 at top venues, mostly CHI and UIST. 3 PhD students. 17 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 72%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 17
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 9 papers2025 · T1 6
- 16 papers2024 · T1 10
- 6 papers2023 · T1 6
T1 venuesOtherVenues: CHI, UIST, CSCW, NAACL, ACL
Research focuspaper titles that use each topic's words
- accessibility7 papers
- Human-robot interaction & assistive robots4 papers
- Interfaces & interaction techniques3 papers
- Human-AI collaboration & trust3 papers
- interaction1 paper
Paper list
From the lab homepage.
20265 papers
- CHI (T1)``I followed what felt right, not what I was told'': Autonomy, Coaching, and Recognizing Bias Through AI-Mediated Dialogue (opens in a new tab)
- UIST (T1)HIDAgent: A Platform-Agnostic Hardware Bridge for Personal Computer Use Agents (opens in a new tab)
- CHI (T1)iTagPDF: Towards Finally Automating PDF Accessibility (opens in a new tab)
- PLSAMention versus Action: Guiding Safety Policy for Content Related to Harmful Topics (opens in a new tab)
- ICLR (T1)VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety (opens in a new tab)
20259 papers
- CHI (T1)CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development (opens in a new tab)
- NAACL (T1)CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation (opens in a new tab)
- ASSETSDesigning Through Lived Experience: Reflections on Control, Embodiment, and Social Bias in Accessibility Research (opens in a new tab)
- UIST (T1)Morae: Proactively Pausing UI Agents for User Choices (opens in a new tab)
- IUINoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes (opens in a new tab)
- UIST (T1)Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors (opens in a new tab)
- NeurIPS (T1)Position: Towards Bidirectional Human-AI Alignment (opens in a new tab)
- UIST (T1)StepWrite: Adaptive Planning for Speech-Driven Text Generation (opens in a new tab)
- ASSETSWe Write Our Research Papers in WYSIWYM. Why Do We Tag Our PDFs in WYSIWYG? (opens in a new tab)
202416 papers
- CHIWORK‘Your Duties Are To Sweep A Floor Remotely’: Low Information Quality in Job Advertisements is a Barrier to Low-Income Job-Seekers’ Successful Use of Digital Platforms (opens in a new tab)
- DIS"This really lets us see the entire world:" Designing a conversational telepresence robot for homebound older adults (opens in a new tab)
- TAC (T1)Artificial Intelligence and Machine Learning + Accessibility (opens in a new tab)
- JSLHRCommunity-Supported Shared Infrastructure in Support of Speech Accessibility (opens in a new tab)
- CHI (T1)COMPA: Using Conversation Context to Achieve Common Ground in AAC (opens in a new tab)
- CHI (T1)Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs (opens in a new tab)
- ECCV (T1)DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation (opens in a new tab)
- CSCW (T1)Exploring the Role of Social Support When Integrating Generative AI in Small Business Workflows (opens in a new tab)
- CSCW (T1)Is Human-AI Interaction CSCW? (opens in a new tab)
- CACMNonverbal Communication through Expressive Objects (opens in a new tab)
- ACM QueueSystem-class Accessibility (opens in a new tab)
- ASSETSTab to Autocomplete: The Effects of AI Coding Assistants on Web Accessibility (opens in a new tab)
20236 papers
- ACL (T1)Downstream Datasets Make Surprisingly Good Pretraining Corpora (opens in a new tab)
- CHI (T1)From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition (opens in a new tab)
- Interspeech (T1)Latent Phrase Matching for Dysarthric Speech (opens in a new tab)
- UIST (T1)Never-ending Learning of User Interfaces (opens in a new tab)
- EMNLP (T1)USB: A Unified Summarization Benchmark Across Tasks and Domains (opens in a new tab)
- CHI (T1)WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics (opens in a new tab)
Where alumni went17 listed
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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