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Institution: Harvard University

Results: 120

Core Concepts in Privacy Research

Social and Environmental Justice

Beyond AI: Additional Considerations for Enhancing Healthcare

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emoji_events	EG	Social and Environmental Justice
emoji_events	JS	Beyond AI: Additional Considerations for Enhancing Healthcare
	PV
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Papers

Browse and search HCI research papers from All

Active Filters

Institution: Harvard University

Results: 120

Core Concepts in Privacy Research

Social and Environmental Justice

Beyond AI: Additional Considerations for Enhancing Healthcare

AdRecommended

Learn AI Coding at CodeNow

open_in_new

Paper Title	Authors	Research Topics
emoji_events	SH	Core Concepts in Privacy Research
emoji_events	EG	Social and Environmental Justice
emoji_events	JS	Beyond AI: Additional Considerations for Enhancing Healthcare
	PV
AdRecommended Learn AI Coding at CodeNow open_in_new
	ZG
	RW
	AD
	SU
	KS
	SS
	RK
	MZ
emoji_events	ZB
	CC
	QC
emoji_events	CY
emoji_events	RW
	XS
emoji_events	SG
	EM

Browse papers | HCI.TOP

Papers

Trust and Friction: Negotiating How Information Flows through Decentralized Social Media

Sustaining Workers Who Sustain the World: Assets-Based Design for Conservation Technologies in Madagascar

Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

Learn AI Coding at CodeNow

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting

``Down to Earth'': Design Considerations for AI for Sustainability from the Environmental and Climate Movement

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach

Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making

Animals' Entanglement with Technology: a Scoping Review

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills

MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts

Democratic Moderation: Exploring the Use and Perception of Votekicking in Social Virtual Reality

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

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Beyond Time and Accuracy: Strategies in Visual Problem-Solving

Trust and Friction: Negotiating How Information Flows through Decentralized Social Media

Sustaining Workers Who Sustain the World: Assets-Based Design for Conservation Technologies in Madagascar

Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

Learn AI Coding at CodeNow

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting

``Down to Earth'': Design Considerations for AI for Sustainability from the Environmental and Climate Movement

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach

Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making

Animals' Entanglement with Technology: a Scoping Review

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills

MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts

Democratic Moderation: Exploring the Use and Perception of Votekicking in Social Virtual Reality

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

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Beyond Time and Accuracy: Strategies in Visual Problem-Solving

Papers

Trust and Friction: Negotiating How Information Flows through Decentralized Social Media

Sustaining Workers Who Sustain the World: Assets-Based Design for Conservation Technologies in Madagascar

Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

Learn AI Coding at CodeNow

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting

``Down to Earth'': Design Considerations for AI for Sustainability from the Environmental and Climate Movement

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach

Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making

Animals' Entanglement with Technology: a Scoping Review

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills

MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts

Democratic Moderation: Exploring the Use and Perception of Votekicking in Social Virtual Reality

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

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Beyond Time and Accuracy: Strategies in Visual Problem-Solving

Trust and Friction: Negotiating How Information Flows through Decentralized Social Media

Sustaining Workers Who Sustain the World: Assets-Based Design for Conservation Technologies in Madagascar

Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

Learn AI Coding at CodeNow

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting

``Down to Earth'': Design Considerations for AI for Sustainability from the Environmental and Climate Movement

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach

Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making

Animals' Entanglement with Technology: a Scoping Review

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills

MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts