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Institution: Apple

Results: 47

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emoji_events	JS
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Papers

Mapping the Design Space of User Experience for Computer Use Agents

Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

Learn AI Coding at CodeNow

Improving User Interface Generation Models from Designer Feedback

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

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

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

From Interaction to Impact: Towards Safer AI Agent Through Understanding and Evaluating Mobile UI Operation Impacts

ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Towards AI-driven Sign Language Generation with Non-manual Markers

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

InterLink: Linking Text with Code and Output in Computational Notebooks

Misty: UI Prototyping Through Interactive Conceptual Blending

ProxiCycle : Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection

eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption

Perceptions of the Fairness Impacts of Multiplicity in Machine Learning

Towards Automated Accessibility Report Generation for Mobile Apps

Mapping the Design Space of User Experience for Computer Use Agents

Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

Learn AI Coding at CodeNow

Improving User Interface Generation Models from Designer Feedback

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

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

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

From Interaction to Impact: Towards Safer AI Agent Through Understanding and Evaluating Mobile UI Operation Impacts

ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Towards AI-driven Sign Language Generation with Non-manual Markers

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

InterLink: Linking Text with Code and Output in Computational Notebooks

Misty: UI Prototyping Through Interactive Conceptual Blending

ProxiCycle : Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection

eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption

Perceptions of the Fairness Impacts of Multiplicity in Machine Learning

Towards Automated Accessibility Report Generation for Mobile Apps

Papers

Mapping the Design Space of User Experience for Computer Use Agents

Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

Learn AI Coding at CodeNow

Improving User Interface Generation Models from Designer Feedback

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

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

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

From Interaction to Impact: Towards Safer AI Agent Through Understanding and Evaluating Mobile UI Operation Impacts

ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Towards AI-driven Sign Language Generation with Non-manual Markers

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

InterLink: Linking Text with Code and Output in Computational Notebooks

Misty: UI Prototyping Through Interactive Conceptual Blending

ProxiCycle : Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection

eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption

Perceptions of the Fairness Impacts of Multiplicity in Machine Learning

Towards Automated Accessibility Report Generation for Mobile Apps

Mapping the Design Space of User Experience for Computer Use Agents

Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

Learn AI Coding at CodeNow

Improving User Interface Generation Models from Designer Feedback

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

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

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

From Interaction to Impact: Towards Safer AI Agent Through Understanding and Evaluating Mobile UI Operation Impacts

ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Towards AI-driven Sign Language Generation with Non-manual Markers

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation