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Author: 897

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Paper Title	Authors	Research Topics	Paper Database	Year
emoji_events	PM
	HA
	ML
	YP
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	FH
	PM
	AS
	JW
	AS
	YH
	YK
emoji_events	FH
	SV
	JW
emoji_events	JW
	CL
	YP
	YK
emoji_events	KM
	JW

Papers

iTagPDF: Towards Finally Automating PDF Accessibility

StepWrite: Adaptive Planning for Speech-Driven Text Generation

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

Morae: Proactively Pausing UI Agents for User Choices

Learn AI Coding at CodeNow

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

Towards Automated Accessibility Report Generation for Mobile Apps

UIClip: A Data-driven Model for Assessing User Interface Design

Towards Automated Accessibility Report Generation for Mobile Apps

"This really let's us see the entire world:" Designing a conversational telepresence robot for homebound older adults

Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

COMPA: Using Conversation Context to Achieve Common Ground in AAC

Never-ending Learning of User Interfaces

WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

Diffscriber: Describing Visual Design Changes to Support Mixed-Ability Collaborative Presentation Authoring

Tech Help Desk: Support for Local Entrepreneurs Addressing the Long Tail of Computing Challenges

Anticipate and Adjust: Cultivating Access in Human-Centered Methods

Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots

iTagPDF: Towards Finally Automating PDF Accessibility

StepWrite: Adaptive Planning for Speech-Driven Text Generation

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

Morae: Proactively Pausing UI Agents for User Choices

Learn AI Coding at CodeNow

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

Towards Automated Accessibility Report Generation for Mobile Apps

UIClip: A Data-driven Model for Assessing User Interface Design

Towards Automated Accessibility Report Generation for Mobile Apps

"This really let's us see the entire world:" Designing a conversational telepresence robot for homebound older adults

Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

COMPA: Using Conversation Context to Achieve Common Ground in AAC

Never-ending Learning of User Interfaces

WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

Diffscriber: Describing Visual Design Changes to Support Mixed-Ability Collaborative Presentation Authoring

Tech Help Desk: Support for Local Entrepreneurs Addressing the Long Tail of Computing Challenges

Anticipate and Adjust: Cultivating Access in Human-Centered Methods

Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots

Papers

iTagPDF: Towards Finally Automating PDF Accessibility

StepWrite: Adaptive Planning for Speech-Driven Text Generation

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

Morae: Proactively Pausing UI Agents for User Choices

Learn AI Coding at CodeNow

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

Towards Automated Accessibility Report Generation for Mobile Apps

UIClip: A Data-driven Model for Assessing User Interface Design

Towards Automated Accessibility Report Generation for Mobile Apps

"This really let's us see the entire world:" Designing a conversational telepresence robot for homebound older adults

Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

COMPA: Using Conversation Context to Achieve Common Ground in AAC

Never-ending Learning of User Interfaces

WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

Diffscriber: Describing Visual Design Changes to Support Mixed-Ability Collaborative Presentation Authoring

Tech Help Desk: Support for Local Entrepreneurs Addressing the Long Tail of Computing Challenges

Anticipate and Adjust: Cultivating Access in Human-Centered Methods

Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots

iTagPDF: Towards Finally Automating PDF Accessibility

StepWrite: Adaptive Planning for Speech-Driven Text Generation

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

Morae: Proactively Pausing UI Agents for User Choices

Learn AI Coding at CodeNow

NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

Towards Automated Accessibility Report Generation for Mobile Apps

UIClip: A Data-driven Model for Assessing User Interface Design

Towards Automated Accessibility Report Generation for Mobile Apps

"This really let's us see the entire world:" Designing a conversational telepresence robot for homebound older adults

Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

COMPA: Using Conversation Context to Achieve Common Ground in AAC

Never-ending Learning of User Interfaces