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Papers

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists

Helping Users Debug Trigger-Action Programs

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage

Learn AI Coding at CodeNow

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity

Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences

Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters

Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information

How Users Interpret Bugs in Trigger-Action Programming

SIGCHI Outstanding Dissertation Award – Supporting Password Decisions with Data

Forgotten But Not Gone: Identifying the Need for Longitudinal Data Management in Cloud Storage

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists

Helping Users Debug Trigger-Action Programs

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage

Learn AI Coding at CodeNow

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity

Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences

Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters

Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information

How Users Interpret Bugs in Trigger-Action Programming

SIGCHI Outstanding Dissertation Award – Supporting Password Decisions with Data

Forgotten But Not Gone: Identifying the Need for Longitudinal Data Management in Cloud Storage

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization

Papers

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists

Helping Users Debug Trigger-Action Programs

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage

Learn AI Coding at CodeNow

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity

Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences

Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters

Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information

How Users Interpret Bugs in Trigger-Action Programming

SIGCHI Outstanding Dissertation Award – Supporting Password Decisions with Data

Forgotten But Not Gone: Identifying the Need for Longitudinal Data Management in Cloud Storage

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization

How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists

Helping Users Debug Trigger-Action Programs

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage

Learn AI Coding at CodeNow

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity

Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences

Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters

Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information

How Users Interpret Bugs in Trigger-Action Programming

SIGCHI Outstanding Dissertation Award – Supporting Password Decisions with Data

Forgotten But Not Gone: Identifying the Need for Longitudinal Data Management in Cloud Storage

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization