All

Papers

Browse and search HCI research papers from All

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Author: 690

Results: 28

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Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

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Remote Collaboration and Machine Translation; Remote Collaboration and Machine Translation

Conversational Agents & Speech Recognition; Conversational Agents & Speech Recognition

Data Work and AI

Expert Work

Research Ethics Roundtable

Coordination and Collaboration

Paper Title	Authors	Research Topics
	OO
	SH
	JW
	UE
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	KD
	FJ
	DW	Remote Collaboration and Machine Translation; Remote Collaboration and Machine Translation
	HC	Conversational Agents & Speech Recognition; Conversational Agents & Speech Recognition
	JS
	JW
emoji_events	MM
	ZA	Data Work and AI
	DP	Expert Work
	MD
	JW
	MM
emoji_events	UE
	MD	Research Ethics Roundtable
	AZ	Coordination and Collaboration
	DW	AI

All

Papers

Browse and search HCI research papers from All

Active Filters

Author: 690

Results: 28

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Now

Remote Collaboration and Machine Translation; Remote Collaboration and Machine Translation

Conversational Agents & Speech Recognition; Conversational Agents & Speech Recognition

Data Work and AI

Expert Work

Research Ethics Roundtable

Coordination and Collaboration

Paper Title	Authors	Research Topics
	OO
	SH
	JW
	UE
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	KD
	FJ
	DW	Remote Collaboration and Machine Translation; Remote Collaboration and Machine Translation
	HC	Conversational Agents & Speech Recognition; Conversational Agents & Speech Recognition
	JS
	JW
emoji_events	MM
	ZA	Data Work and AI
	DP	Expert Work
	MD
	JW
	MM
emoji_events	UE
	MD	Research Ethics Roundtable
	AZ	Coordination and Collaboration
	DW	AI

Papers

Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach

Design Principles for Generative AI Applications

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Learn AI Coding at CodeNow

GigSousveillance: Designing Gig Worker Centric Sousveillance Tools

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity

Unveiling Practices of Customer Service Content Curators of Conversational Agents

Investigating Explainability of Generative Models for Code through Scenario-based Design

Better Together? An Evaluation of AI-Supported Code Translation

Forgetting Practices in the Data Sciences

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface

Perfection Not Required? Human-AI Partnerships in Code Translation

Designing Ground Truth and the Social Life of Labels

Expanding Explainability: Towards Social Transparency in AI systems

Research Ethics Roundtable

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI

Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach

Design Principles for Generative AI Applications

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Learn AI Coding at CodeNow

GigSousveillance: Designing Gig Worker Centric Sousveillance Tools

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity

Unveiling Practices of Customer Service Content Curators of Conversational Agents

Investigating Explainability of Generative Models for Code through Scenario-based Design

Better Together? An Evaluation of AI-Supported Code Translation

Forgetting Practices in the Data Sciences

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface

Perfection Not Required? Human-AI Partnerships in Code Translation

Designing Ground Truth and the Social Life of Labels

Expanding Explainability: Towards Social Transparency in AI systems

Research Ethics Roundtable

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI

Papers

Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach

Design Principles for Generative AI Applications

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Learn AI Coding at CodeNow

GigSousveillance: Designing Gig Worker Centric Sousveillance Tools

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity

Unveiling Practices of Customer Service Content Curators of Conversational Agents

Investigating Explainability of Generative Models for Code through Scenario-based Design

Better Together? An Evaluation of AI-Supported Code Translation

Forgetting Practices in the Data Sciences

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface

Perfection Not Required? Human-AI Partnerships in Code Translation

Designing Ground Truth and the Social Life of Labels

Expanding Explainability: Towards Social Transparency in AI systems

Research Ethics Roundtable

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI

Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach

Design Principles for Generative AI Applications

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Learn AI Coding at CodeNow

GigSousveillance: Designing Gig Worker Centric Sousveillance Tools

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity

Unveiling Practices of Customer Service Content Curators of Conversational Agents

Investigating Explainability of Generative Models for Code through Scenario-based Design

Better Together? An Evaluation of AI-Supported Code Translation

Forgetting Practices in the Data Sciences

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface